ynic-users

ynic-users@ynic.york.ac.uk

2 participants
2841 discussions

YNiC seminar today.
by Claire Fox 14 Jan '16

14 Jan '16

Dear All, A reminder that Dr Aneurin Kennerley will be giving the following talk today "Why so Negative? Long Latency Reductions in Gamma Band Neuronal activity told me to be". The seminar will take place at 4pm in B020, all are welcome and refreshments will be available afterwards. Many thanks Claire -- Claire Fox PA to Professor Gary Green The York Neuroimaging Centre Innovation Way Science Park York YO10 5NY Tel: 01904 435329 Fax: 01904 435356 Email: Claire.fox(a)ynic.york.ac.uk Website: https://www.ynic.york.ac.uk/ E-mail disclaimer: http://www.york.ac.uk/docs/disclaimer/email.htm

1 0

Brief downtime this Sunday
by Paul Elliott 13 Jan '16

13 Jan '16

Hi all, This Sunday evening (17th Jan) we will be updating a large number of our systems. This will involve around 15 minutes of downtime. To facilitate the updates jobs sent to the cluster from Friday evening will be queued. Any jobs still running on the cluster during the updates may be cancelled and will need to be resubmitted. Thanks, Paul. -- Paul Elliott, UNIX Systems Administrator York Neuroimaging Centre (YNiC), University of York

1 0

Next meeting Science YNIC Commitee
by Jonny Smallwood 12 Jan '16

12 Jan '16

Hello everyone, The next meeting of the YNIC Science committee takes place on Monday the 18th of January at 2pm. If anyone has any issues that they would like to be raised at this meeting, can you please email them to Sarah Finch (ccd) so she can add them to the agenda. Also, Tessa Flack has resigned her position on the committee, so we are looking for a new PhD representative. Thanks to Tessa for all her work on the committee over the last few years. Please let me know if you would like to join the committee. Thanks Jonny -- Jonathan Smallwood Reader in Psychology / Cognitive Neuroscience University of York, England.

1 1

Open plan teaching times and cluster usage
by Mark Hymers 08 Jan '16

08 Jan '16

Dear all, Over this term, Open plan will be used for teaching on a number of occasions. We will be asking everyone who is not taking part in the class to leave the open plan area at these times. The times for this term are: Week 2: Monday 11th January: 1200-1600 Friday 15th January: 1200-1600 Week 3: Friday 22nd January: 1200-1600 Week 4: Monday 25th January: 1200-1600 Friday 29th January: 1200-1600 Week 5: Friday 5th February: 1200-1600 Week 7: Monday 15th February: 1200-1600 Friday 19th February: 1200-1600 Week 8: Friday 26th February: 1200-1600 Week 9: Monday 29th February: 1200-1600 Friday 4th March: 1200-1600 Week 10: Friday 11th March: 1200-1600 These times can be found on the University timetable http://www.york.ac.uk/viewtimetables by choosing YNiC as the room and clicking "View Room" Please note that we will also be placing the cluster queue on hold for long jobs in advance of, and during, the Friday sessions to ensure that students on the Neuroimaging courses can complete their work during these practical sessions. Thanks, Mark -- Mark Hymers, York Neuroimaging Centre Please note that my email address is: mark.hymers(a)ynic.york.ac.uk Responses to messages sent to other addresses may be delayed

1 0

Grant funded scanning hours estimation for the MTP
by Jonny Smallwood 07 Jan '16

07 Jan '16

Hello YNIC Users, In order for the Medium Term Plan to be as accurate as possible we need an estimate of the amount of income that YNIC is likely to make from grant income related to scanning. If you have an active grant, or one that is likely to become active, can you send Jo Saunders an email describing the number of MEG or fMRI hours that you anticipate using in each year of the grant period. *This applies to any grant that will be active over the next five years.* We understand that this will be an estimate and that the exact numbers may change, however, it is better for the estimate to come from the PIs under these circumstances. Please note this only applies to hours supported by external funders (e.g. does not include start up hours or PhD hours). If possible we would like this information by early next week so that it can be factored in to the MTP. Thanks for your hep with this, -- Jonathan Smallwood Reader in Psychology / Cognitive Neuroscience University of York, England.

1 0

TMS maintenance
by Andre Gouws 05 Jan '16

05 Jan '16

(TMS operators - sorry for cross posting - info copied to all YNiC users to keep everyone in the loop). Hi all, We have now negotiated a service / maintenance / repair contract with Magstim and are ready to send some units & coils off for service. The plan is to send one stimulator unit & PSU (top and bottom pair) with 2/ 3 coils, keeping the other unit and some coils on site while the first is being serviced. This should in theory allow us to keep using the lab with the 2nd unit while the 1st is checked. Once the 1st set is returned, we will send the 2nd set off for service with other coils. I need to know, from anyone intending to use TMS over the next 4-6 weeks, the details of the coils you are using - which coils and how many you use in a session. We may need to coordinate across groups if (as) there are differing coil requirements. FYI, if no faults are detected, magstim expects the turnaround per service to be 7-10 days. Please let me know ASAP. Andre' -- This is a message sent to YNiC operators If you have any technical concerns, please email it.manager(a)ynic.york.ac.uk _______________________________________________ Staff mailing list Staff(a)ynic.york.ac.uk https://www.ynic.york.ac.uk/mailman/listinfo/staff

1 0

phds,postdocs...
by Gary Green 05 Jan '16

05 Jan '16

The lab of Daniele Marinazzo (www.ugent.be/~dmarinaz), at the department of Data Analysis, Faculty of Psychology and Pedagogical Sciences of the University of Ghent, Belgium, is looking for a PhD student. The position is fully funded for 4 years by the Research Foundation Flanders (FWO). The research subject involves advanced statistical data analysis of fMRI data. The student will be part of a research group focusing on the development and validation of new methods for the analysis of neuroimaging data, in the framework of a multidisciplinary collaboration with psychologists and clinicians. Both candidates with a technical degree and candidates with a psychology degree but an interest in programming and quantitative analyses are encouraged to apply. Knowledge of at least one programming language (python, matlab, R …) and an interest for multidisciplinary research are required. The University of Gent (www.ugent.be) hosts a vibrant research community and offers excellent facilities to students and employees. The most likely starting date is October 2016 but earlier appointments can be considered. Candidates are invited to send a motivation letter and the names of two referees to Daniele Marinazzo (daniele.marinazzo(a)ugent.be) Informal inquiries and requests for further information are most welcome. -- Daniele Marinazzo -- Department of Data Analysis Faculty of Psychology and Pedagogical Sciences, Ghent University Henri Dunantlaan 1, B-9000 Ghent, Belgium +32 (0) 9 264 6375 http://users.ugent.be/~dmarinaz/ ========================================== A research assistant/postdoctoral position in fMRI (initially for 2 years) is available at the Minneapolis Veterans Affairs Medical Center/University of Minnesota. Responsibilities will include acquiring and analyzing fMRI data in projects investigating the role of the cerebellum in sensory and cognitive processing. Candidates with background in neuroscience, psychology, radiology or related disciplines are invited to apply. Please send enquiries or c.v. to Dr. Khalaf Bushara , E-mail: busha001(a)umn.edu ========================================== PostDoctoral Research Position at the University of Edinburgh in Biomedical Signal Processing We are looking for an enthusiastic and strongly motivated researcher to join our group within the Institute for Digital Communications in the School of Engineering of the University of Edinburgh. You will work in an EPSRC-funded project on the creation of new analysis techniques based on tensor factorisations for dynamic brain connectivity data. You will have the opportunity to collaborate with interdisciplinary partners to develop advanced signal processing techniques for connectivity analysis and further our understanding of how Alzheimer’s disease affects the brain electrophysiological activity. The main objective of the project is to create a novel framework based on tensor factorisations to investigate the components of dynamic networks resulting from electroencephalogram functional connectivity. This will include the introduction of appropriate constraints in the factorisations, and methods to compare them across subjects. You should hold (or be about to receive) a PhD in signal processing, computer science, or a related numerate discipline. Experience in biomedical signal processing and/or brain connectivity analysis will be considered a plus. A good track record of international publications demonstrating prior experience is required. You should have good programming skills, a strong mathematical background, and an interest in interdisciplinary research. This post is full time and fixed term for 13 months, to commence in April 2016 or as soon as possible thereafter. The University of Edinburgh is considered one of the top universities in the world according to recent rankings. The Institute for Digital Communications, in the School of Engineering, develops theory, algorithms and hardware for the next generation of signal processing, imaging and communication systems. The Institute comprises 15 faculty members and over 65 research fellows/associates and over PhD students. In REF2014, Engineering had 94% of the overall research activity ranked as world-leading or internationally excellent. Edinburgh, the capital of Scotland, offers a vibrant professional life, excellent career opportunities and a very high quality of life. It has a beautiful old part, has an abundance of café’s, restaurants and bars, and yearly hosts the Festival and the Fringe, which is the largest arts gathering in the world. Interested candidates should email the Principal Investigator (Dr Javier Escudero, javier.escudero(a)ed.ac.uk) with an updated CV and a brief summary of interests. =============================== The newly founded Neuroimaging Center at the University of Oldenburg, Germany, offers the following two positions 1. MEG-Physicist/Engineer (E13/TV-L, initially 3 years) 2. MRI-Physicist/Engineer (E13/TV-L, initially 3 years) The positions are suitable for part-time work. The Neuroimaging Center hosts a state of the art magnetoencephalograph (ElektaTriux) and a magnetic resonance tomograph (Siemens Prisma 3T) and is embedded in an excellent interdisciplinary scientific environment with a strong research focus on neurosensory, neurocognitive, and medical research. We seek for highly motivated post-doctoral candidates (with PhD) with an academic university degree in physics, engineering or related fields, with documented research experience in magnetoencephalography (position 1) or magnetic resonance imaging (position 2). For both positions, fluency in English is necessary. German and experience in the design of neurocognitive experiments are desirable. Successful candidates will be responsible for the operation and administration of the MEG-system and MRI-system respectively, their infrastructure, the development and improvement of measurement and analyses techniques and user consultancy. The University of Oldenburg is rapidly growing and offers a vibrant scientific environment with strong foci on cognitive and sensory neuroscience and a new medical school. The European Medical School is a cooperation project between the Universities of Oldenburg and Groningen and three local hospitals. Oldenburg is an attractive city in Germany's northwest with excellent quality of life. It is close to Bremen, Hamburg, Groningen, and approx. 1 h from the north sea. The University of Oldenburg is dedicated to increasing the percentage of women in science. Therefore, female candidates are particularly encouraged to apply and will be given preference in cases of equal qualification. Handicapped applicants will be given preference if equally qualified. Electronic applications (one pdf file) are preferred and can be send to: Professor Dr. Jochem Rieger: Jochem.rieger(a)uni-oldenburg.de Applications by mail should be sent to Prof. Jochem Rieger Universität Oldenburg Kuepkersweg 74 (W30) 26129 Oldenburg Germany The application process is open until January 31st 2016. Applications should include your CV, a list of most recent publications, and a statement (max. 3 pages). ========================= Full details for this position can be found at: http://jobs.mq.edu.au/cw/en/job/496354/postdoctoral-researcher-in-magnetoen… An opportunity exists for a postdoctoral researcher to develop and use the magnetoencephalographic (MEG) system to investigate brain responses in adults and children with a unilateral cochlear implant (MEG III). The successful candidate will participate in research projects developing and assessing new noise reduction techniques for MEG III measurements; and planning and implementing research studies investigating the nature and trajectory of brain changes following cochlear implantation. The MEG III system is located in the KIT-Macquarie Brain Research Laboratory, a state-of-the-art MEG facility housed in the Australian Hearing Hub on the Macquarie University campus, and co-located with Cochlear, the National Acoustic Laboratories (NAL) and the ARC Centre of Excellence in Cognition and its Disorders. Comprising three MEG systems for non-invasive imaging of human brain function, the KIT-Macquarie Laboratory is home to the first MEG system in the Southern Hemisphere, the first paediatric MEG system in the world, and now, with MEG III, a world-first system for measuring auditory and linguistic brain functions in cochlear implant users. The role is funded through the HEARing Cooperative Research Centre (CRC), a partnership of clinicians, researchers and commercial partners working to improve the hearing health of Australians. The successful applicant will work in close collaboration with researchers from the Audiology section within the Department of Linguistics and Cochlear – the leading manufacturer of cochlear implants. ========================= Post-doctoral Training in TMS at the University of Michigan An interdisciplinary post-doctoral position is available at the University of Michigan to work with Stephan Taylor (Psychiatry), Sean Meehan (Kinesiology) and Thad Polk (Psychology). One project will use paired pulse TMS to study GABAergic function in neuropsychiatric conditions (psychosis, depression, stroke) and normal aging, but opportunities for independent projects in TMS (e.g. theta burst stimulation), as well as complementary projects in fMRI and MRS will be plentiful across the three labs. Candidates should have a Ph.D. in neuroscience, psychology, or a related field. Experience in fMRI and TMS is highly desirable, but not required. However, strong technical/analytic skills (e.g. data analysis and/or programming) and the capability to learn the necessary procedural skills for TMS are required. The fellowship is available immediately. If interested, please contact: Stephan Taylor MD sftaylor(a)umich.edu, Sean Meehan PhD skmeehan(a)umich.edu or Thad Polk PhD tpolk(a)umich.edu. The University of Michigan is an equal opportunity provider. ======================== * Post Doctoral Position: fMRI Project on Intrinsic Motivation and Decision Making, University of Reading, UK** A talented and enthusiastic postdoctoral researcher is required to work on an interdisciplinary neuroimaging project on human curiosity (or intrinsic motivation) and decision making under the supervision of Dr Kou Murayama, the principal investigator of the Motivation Laboratory in the University of Reading, UK (http://koumurayama.com/). This exciting project, funded by European Commission, provides a unique opportunity to examine neural mechanisms through which human curiosity biases decision making process, using neuroimaging experimental methods. The successful candidate will have a variety of duties including programming experiments, preparing experimental stimuli, and collecting and analysing neuroimaging data. The Department of Psychology at the University of Reading hosts the Centre for Integrative Neuroscience and Neurodynamics (CINN), providing extensive laboratory facilities for research projects in psychology and cognitive and computational neuroscience, with a research-dedicated 3T Siemens Trio MRI scanner, which is complemented by integrated eye tracking systems and MRI-compatible EEG and TMS systems. This is a 1 year position and the anticipated starting date is April 2015 (negotiable). Salary is GBP 28,982 per annum (Grade 6). The application closes on 3rd February, 2016. If you are interested, please go to the link below for further details. Application must be submited online (via the link below). https://www.reading.ac.uk/15/about/jobs/about-job-details.aspx?vacancy_id=1… If you have any questions, please feel free to contact Kou Murayama (k.murayama(a)reading.ac.uk). ============================

1 0

phds. postdocs, other positions
by Gary Green 04 Jan '16

04 Jan '16

An opportunity to study at both the Departments of Medicine and Computing is available at Imperial College London. Starting in October 2016, the studentship is part of the prestigious EPSRC Centre for Doctoral Training in Neurotechnology for life and health and involves an initial MRes year, before registering for a PhD in year 2. Our novel project focuses on using brain imaging and ageing biomarkers to predict biological age in the UKBiobank dataset. A systemic measure of biological age could have great utility in predicting health outcomes in the ageing population and will be implemented as a publich health tool. More details on the project and how to apply below. http://www.imperial.ac.uk/neurotechnology/cdt/projects/measuring_age/ James H Cole, PhD C3NL Division of Brain Sciences Department of Medicine Imperial College London ==================================== he German Center for Neurodegenerative Diseases (DZNE) is a center of excellence within the Helmholtz Association that performs translational research on Neurodegenerative Diseases. The center includes nine high-performing sites in Bonn, Berlin, Dresden, Göttingen, Magdeburg, Munich, Rostock/Greifswald, Tübingen and Witten. Within the area of clinical research we have a position for a PhD position (f/m) Neuro Image Analysis – Code 1347/2015/11 Description: You will work in an interdisciplinary team in Bonn focused on Clinical Research. Clinical research at the DZNE aims to investigate causes and preclinical biomarkers of neurodegenerative diseases, and to study normal and pathological brain structure and function in neurodegenerative diseases. To this end the team, led by Prof. Thomas Klockgether, Director of Clinical Research of the DZNE is currently establishing several clinical studies including MR-imaging in a multi-center and single site setting. The study facility in Bonn will encompass state-of-the art apparatus including 3T MRI scanners (Siemens Skyra) as well as a 7T MRI Scanner, advanced bio-banking program and large data storage and computational resources. We invite applications for a PhD project on multimodal brain imaging in Neurodegenerative Diseases (e.g. spinocerebellar ataxia) in the Clinical Research Group at the German Center of Neurodegenerative Diseases, DZNE, Bonn, Germany. Within the framework of multicenter studies the project aims to investigate the structural and functional trace of Neurodegenerative Diseases (e.g. spinocerebellar ataxia) in the human brain. Available methods include resting state fMRI, DTI and morphometry. Interested candidates are encouraged to develop computational modelling skills. Qualifications and experience: We are looking for highly motivated candidates with a Master’s degree (or equivalent) in neuroscience, psychology, biology, or a related field, and with a strong interest in neurodegenerative diseases. Programming skills in Matlab and experience with resting-state fMRI are an advantage. Demonstrable interest in quantitative research, strong analytical skills, ability for independent and critical thinking, and excellent communication and writing skills in the English language are a prerequisite. Creative, highly motivated and team-oriented candidates, who dare to take initiative and enjoy working in a fast-growing, dynamic research environment in an internationally oriented biomedical institution, are strongly encouraged to apply. We offer: - An interesting and challenging task in a research center that works on the future topics of health research - An international environment characterized by a strong focus on science and research - A high potential for the individual development of our employees - Targeted personnel development - A full-time position, initially temporary limited to two year - Employment, payment and social benefits are consistent with those at other research institutesJob location is Bonn, Germany. Common language at work is English or German. The DZNE is an equal opportunity employer. The DZNE especially welcomes and encourages disabled individuals to apply. Contact: Interested candidates should send their applications including CV with transcripts or degree certificates, a brief statement of research interests and contact details of two referees in a single file to: application(a)dzne.de References may be taken up as part of the candidate selection and prior to interview. Applicants who do not wish referees to be contacted without prior notice and consent should make this explicitly clear on their application. ============================== A PhD Studentship, "Learning to move in space and time: Multimodal imaging of the human cerebellum”, is available at the University of Nottingham, UK. Now open: An exciting opportunity to work in the HandLab using high-field (7T) magnetic resonance imaging (MRI) and transcranial magnetic stimulation (TMS). This is part of the IMPACT programme, under the "Imaging: Molecules to Man" theme. For more details, contact Dr Nick Holmes (nicholas.holmes(a)nottingham.ac.uk), and see the programme website below: DEADLINE: 10th January 2016 - apply ASAP! http://www.birmingham.ac.uk/research/activity/mrc-impact/index.aspx http://www.birmingham.ac.uk/research/activity/mrc-impact/imaging.aspx ========================= A PhD studentship „Identifying non-invasive imaging markers of neuroinflammation in treatment pharmacoresistant epilepsy“ is available in the Epilepsy Research Group (ERG) at the University of Liverpool, UK and is supervised by Dr Simon Keller and Prof Tony Marson. Please find all details about this position via this link: http://www.findaphd.com/search/ProjectDetails.aspx?PJID=70289&LID=3417 Deadline: Friday, January 22, 2016 - apply ASAP! ================= for our brainstem/superior colliculus projects at the University of Tuebingen we are looking for two PhDs. The DFG-funded project will run for 3 years and use primarily fMRI and DTI at a 3T scanner. The full project description and further information are available on our webpage: https://homepages.uni-tuebingen.de//marc.himmelbach/Welcome.html. Applicants should submit their application documents (cover letter, CV, 2 references, publication list and master thesis, if available) by e-mail as a single pdf to Dr. Himmelbach. Applications will be considered until 31st January 2016. With kind regards, Marc Himmelbach Dr. Marc Himmelbach Division of Neuropsychology Hertie-Institute for Clinical Brain Research Centre for Integrative Neuroscience Hoppe-Seyler-Str. 3, D-72076 Tübingen Phone: ++49 (0)7071-29 86580 Fax: ++49 (0)7071-29 4489 http://homepages.uni-tuebingen.de/marc.himmelbach ===================================== Mind Research Network Postdoctoral Fellow – Job # 2015.180.M Summary A post-doctoral research position is currently available in Dr. Andrew Mayer’s laboratory at The Mind Research Network, Albuquerque, New Mexico location in the area of cognitive neuroscience. The candidate will work on several NIH-funded projects that use multimodal neuroimaging to study traumatic brain injury and psychosis spectrum disorders. Particular areas of focus include cognitive neuroscience studies of multisensory cognitive control, advanced modeling for diffusion MRI and mechanistic explorations of vascular integrity through multimodal imaging (i.e., task-related BOLD, pCASL, cerebral vascular reactivity and resting state data). Requirements A Ph.D. in neuroscience, psychology, computer science or a related field is required. The ideal candidate should possess a strong interest in working in both clinical and pre-clinical research settings, a strong publication record and experience in brain imaging (functional magnetic resonance imaging (fMRI), diffusion MRI, structural MRI, etc). Applicant must also have strong programming skills in Linux and one or more other languages (R, MATLAB, python, etc.). The position is for two years, with a third year extension possible. To apply, visit www.mrn.org and refer to Job # in the “Jobs” section of the website. Or contact Dr. Mayer directly at amayer(a)mrn.org. The Mind Research Network is an independent non-profit organization dedicated to advancing the diagnosis and treatment of mental illness and brain injury. Headquartered in Albuquerque, New Mexico, MRN consists of an interdisciplinary association of scientists located at universities, national laboratories and research centers around the world and is focused on imaging technology and its emergence as an integral element of neuroscience investigation. With an extended community of academicians, researchers, graduate students and technicians, the MRN is uniquely positioned with its national infrastructure to link the brightest minds in neuroscience with some of the most cutting-edge neuroimaging capabilities in the world today Equal Opportunity Employer The Lovelace Respiratory Research Institute Family of Companies is an Equal Opportunity employer–M/F/Veteran/Disability. We are committed to the hiring, advancement and fair treatment of all individuals, and all qualified applicants will receive consideration for employment without regarding to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability, protected veteran status, or any other protected status as designated by federal, state or local law. For additional information about your rights as an applicant, click here. For assistance with our application process, including reasonable accommodations for individuals with disabilities to participate in the application process, please send an email to recruiting(a)lrri.org or call 505-348-9400. ======================== The Pediatric Mood and Anxiety Disorders Program (P-MAP) and the Translational and Molecular Imaging Institute (TMII) at the Icahn School of Medicine at Mount Sinai (ISMMS) are seeking a highly motivated post-doctoral scholar in neuroimaging. The focus of this position will be on analyzing fMRI and/or MRS data. Candidates should have (or nearing completion of) a PhD in neuroscience, psychology, cognitive science, radiology, engineering, or a related field, and should have a strong background in quantitative analysis. Proficiencies with at least one neuroimaging analysis software (e.g. FSL, AFNI, SPM, Freesurfer, Caret, Connectome workbench, etc.) and Unix/Linux environment are expected. Familiarity with Matlab, Python, or R programming language is a plus. The postdoctoral scholar will be mentored jointly by Dr. Vilma Gabbay and Dr. Junqian (Gordon) Xu, with the expectation for him/her to advance both clinical and methodological knowledge through this postdoctoral training. The P-MAP under the direction of Vilma Gabbay, MD, is a unique program in the greater New York metropolitan area dedicated exclusively to the study and treatment of adolescent mood and anxiety disorders, utilizing innovative neuroimaging and immunological methodologies. The neuroimaging program led by Junqian (Gordon) Xu, PhD, has extensive knowledge about the Human Connectome Project (HCP) data acquisition and analysis, and is dedicated to advancing magnetic resonance imaging and spectroscopy techniques. TMII is equipped with cutting-edge Siemens MRI scanners dedicated to research: 3T Skyra (32ch and 16ch head coils) and whole-body actively shielded 7T (32ch Nova head coil). One campus wide supercomputer and one TMII wide center cluster are fully accessible for data analysis and algorithm development. The postdoctoral fellow's primary responsibility is to analyze neuroimaging data from funded research projects. In addition, the mentors are fully committed to fostering the trainee's research independence through first-author manuscript writing and assisting in the PIs' grant applications. The candidate is highly encouraged to pursue his/her own research project through NIH F32 or foundation fellowship applications by the end of the first year. The initial employment is for two-years, with possible extension. Salary will be commensurate with experience and the cost of living in New York City. Subsidized housing close to Mount Sinai campus (upper east side, Manhattan) is available. Please send CV (with 3 references) and statement of interest to Kailyn Bradley, PhD: (kailyn.bradley(a)mssm.edu). Candidates with an early start date will be given priority. ============================ The Brain Behavior Laboratory (BBL) at the University of Pennsylvania (UPenn) and The Lifespan Brain Institute (LiBI) are now accepting applications for a full-time Research Associate to coordinate our imaging analytics group, lead by Dr. Ted Satterthwaite. The BBL and LiBI study brain-behavior relationships in development and psychopathology; ongoing efforts include large-scale studies such as the Philadelphia Developmental Cohort (PNC), a landmark study of over 1,600 genotyped youth who received multi-modal neuroimaging as well as detailed clinical and cognitive phenotyping. Responsibilities will include: data integration and analysis, developing and maintaining imaging processing pipelines, supervising staff and trainees, assisting with grant preparation, and writing first-author manuscripts. This position will involve working as part of a highly-interdisciplinary research team that includes experts in diverse fields such as neuropsychiatry (Raquel E. Gur; director of LiBI and UPenn Neuropsychiatry), neuropsychology (Ruben Gur; director of BBL), network theory (Danielle S. Bassett), multivariate pattern analysis (Christos Davatzikos), and imaging statistics (Taki Shinohara). To work effectively in this highly collaborative environment, the applicant should have superior communication, language, and writing skills. The applicant must have completed their Ph.D. in neuroscience, engineering, psychology, or statistics with an established record of high productivity; post-doctoral training is desirable. Expertise in using neuroimaging software (e.g., FSL, ANTs, FreeSurfer, AFNI), statistical packages (e.g., R), and scripting languages (e.g., bash) are required. Please send cover letter and CV to Ted Satterthwaite (sattertt(a)upenn.edu). ================================== he Integrated Brain Imaging Center at the University of Washington in Seattle seeks a full-time staff research scientist with expertise in design and analysis of fMRI experiments. The successful candidate will be one who thrives in a multidisciplinary environment; can maintain a cutting edge conceptual understanding of image processing methods, analysis, and interpretation; views operationalizing methods on science as an exercise in problem solving; and enjoys integrating science and methods, operationally and conceptually. The successful candidate will demonstrate a trajectory of increasing responsibility for facilitating projects requiring divergent intellectual disciplines. Interested parties should see the full job posting on UW Hires (Req #: 128007). https://uwhires.admin.washington.edu/eng/candidates/default.cfm?szCategory=… ============================= http://www.childmind.org/en/Neuroimaging-Data-Manager/ Neuroimaging Data Manager Organizational Summary The Child Mind Institute is an independent nonprofit dedicated to transforming the lives of children and families struggling with mental health and learning disorders. Our teams work every day to deliver the highest standards of care, advance the science of the developing brain and empower parents, professionals and policymakers to support children when and where they need it most. Together with our supporters, we're helping children reach their full potential in school and in life. We share all of our resources freely and do not accept any funding from the pharmaceutical industry. Job Description The Child Mind Institute is currently recruiting a Neuroimaging Data Manager (NDM) to oversee the collection, organization, quality assurance and sharing of EEG, fMRI and eye-tracking data obtained through CMI initiatives. In particular, these initiatives will include: 1) the CMI Clinical-Research Integration, which is actively working to obtain cognitive performance and EEG data from patients interested in participating and research, and 2) the Healthy Brain Network, which is a large-scale community-focused data acquisition effort that is obtaining EEG and multimodal MRI data from children and adolescents (ages 5-21) with a range of psychiatric presentations. The NDM will be responsible for the training of research assistant staff in the collection of data and monitoring of performance for quality. Additionally, the NDM will be responsible for the organization, quality assessment of EEG and fMRI data, as well as basic preprocessing. Additionally, the NDM will help to coordinate the open sharing of data with other researchers around the world. The NDM reports to the Director, Center for the Developing Brain (Michael P. Milham, MD, PhD) and to the Project Manager, Healthy Brain Network. This is an exempt position based in our NYC headquarters, with a competitive salary and benefits. Responsibilities Include but are not limited to the following: - Work collaboratively to develop neuroimaging research project plans, including timelines, milestones, resource requirements and deliverables. - Implement project protocols and operational plans, which areconsistent with strategic objectives. These should include staff training, monitoring and quality assurance mechanisms for EEG, multimodal MRI and eye-tracking data, as well as accompanying phenotypic data. - Understand and supportglobal project goals including patient recruitment,quality assurance, and public relations. - Work with senior CMI clinical and research staff to refine and update project goals andscopes, as well as to ensure proper adherence toclinical and research regulations. - Work with senior CMI clinical and research staff to manageresources and timelines associated with projectimplementation activities. - Work with senior CMI clinical and research staff to review and approve requests for new research projects from clinical staff at CMI. Ensuremaintenance of document standardization through the use of modeldocuments, templates and appropriate peer review. Required Skills - Research study coordination and management - Problem-solving, negotiation, inventory control - Supervision, staffing, management proficiency, performance management - Workflow development; writing protocols - EEG data acquisition and analysis Qualifications - Masters degree required in psychology, neuroscience, computer science, engineering, or other related areas. (Doctoral degree preferred) - Minimum two years' experience with the collection and analysis of EEG data. - Prior experience with the collection and analysis of functional MRI data is preferred, though not required. - Intermediate programming skills in either Python or Matlab - Proficiency in Linux/Unix operating systems. - Strong knowledge of standard office software applications (e.g., Microsoft Word, Excel, PowerPoint, etc.) Application instructions Click here to apply (https://workforcenow.adp.com/jobs/apply/posting.html?client=childmind&ccId=…). Upload cover letter and resume as one document. CMI is an Equal Opportunity Employer. CMI is committed to recruiting and maintaining a diverse staff; individuals from all backgrounds are strongly encouraged to apply. Employment at Will Relationship This position description does not constitute a guarantee that employment will continue for any specified period of time. Rather, employment is at the mutual consent of the employee and CMI, and can be terminated at will by the employee or by CMI. CMI reserves the right to modify the job description and/or reporting relationship at any time. CMI is an Equal Opportunity Employer. CMI is committed to recruiting and maintaining a diverse staff; individuals from all backgrounds are strongly encouraged to apply. Michael P. Milham, MD, PhD Phyllis Green and Randolph Cowen Scholar Director, Center for the Developing Brain Child Mind Institute http://www.childmind.org/ Director, Center for Biomedical Imaging and Neuromodulation Research Psychiatrist Nathan S. Kline Institute for Psychiatric Research ===========================

1 0

PHDs, postdocs, faculty and whole team opportunity
by Gary Green 18 Dec '15

18 Dec '15

1 PhD student position at the Center for Behavioral Brain Sciences, Otto-von-Guericke-University Magdeburg, Germany Applications are invited for a 4-year PhD student position in the Cognitive Neuroscience research group (www.cns-jocham.de) headed by PD Dr Gerhard Jocham. The position is part of the Collaborative Research Centre SFB 779 „Neurobiology of motivated behavior“ funded by the DFG (German Research Council). In this project, we will investigate how cortical representations of reward value are maintained during delay periods. The project is thus at the intersection of reward-guided decision making and working memory. MEG in combination with multivariate analyses approaches, behavioural modelling and pharmacological challenges will be used to study mechanisms of cortical value representations. Being embedded in the larger structure of the SFB 779, you will additionally benefit from the interactions with other leading experts. With several research-dedicated 3T and one 7T MRI scanners, an MEG and several EEG laboratories, a newly built combined MRI-PET facility, and a large community of researchers working on all levels of description (from cellular to systems), Magdeburg offers an outstanding and stimulating environment for cognitive neuroscience. For the position, a strong interest in decision making is important. You will have an MSc or equivalent degree (or be currently working towards one) in psychology, neuroscience, or a related field (biology, engineering, computer science, physics). The ideal candidate should also possess computer programming skills, in particular Matlab would be desirable. You will be thorough, efficient, a good communicator and enjoy both working independently and as part of a dynamic team. For further information about this unique opportunity, please contact Gerhard Jocham (jocham(a)ovgu.de). Visit our website (www.cns-jocham.de) to learn more about our research and the SFB website to learn more about the Collaborative Research Centre in general (www.sfb779.de/en/) and about the project in particular (www.sfb779.de/en/b16n.html). Applications should include a CV, a brief statement of research experience and interests, academic achievements and names of at least 2 referees. Please send your application electronically as a single pdf file quoting reference number 271/2015 to Dr Gerhard Jocham (jocham(a)ovgu.de). The position is available immediately (1 Jan 2016), but applications will be considered until the post is filled. Applications from disabled persons will be given priority in the case of equal suitability, ability and professional expertise. The Otto von Guericke University aims to increase the proportion of women researchers within the university and specifically encourages women to apply. ============================== we are currently advertising the following three 4-year PhD positions for our lab with application deadlines early next year. The funding covers living expenses and UK/EU fees over four years and, using overseas research studentships, potentially also the higher fees for non-EU applicants. Students are chosen in competition with students who choose projects in other fields, which means that we would particularly encourage strong applicants with very good academic marks and previous research experience to apply. Please follow the links below for more information. Newcastle-DTA PhD studentships (1) Building brains: Which developmental pathways lead to better performance in information processing? (School: Computing Science Ref: DTA122) Within this project, a student will help to develop detailed simulations of brain network development. In addition, the student will test the performance of the grown networks on visual tasks. Through this, we will investigate (a) how developmental mechanisms are linked to the resulting topology and (b) how the resulting network is linked to processing performance. As a result, we will get a better understanding how changes during development are linked to brain architecture and how they can lead to cognitive deficits. Supervisors: Prof. Marcus Kaiser, Dr Gavin Clowry, and Dr Roman Bauer (2) Predicting patient outcomes following traumatic brain injury (School: Computing Science Ref: DTA123) In this study we will investigate the impact of simulated brain lesions using human brain connectivity data and computer simulations. We shall aim to produce biomarkers for patient outcomes. These techniques may hive wider applications in stroke, multiple sclerosis and ageing. Supervisors: Prof. Marcus Kaiser and Dr Peter Taylor Please apply by 22 January at http://www.ncl.ac.uk/sage/study/postgrad/dta/ Newcastle-Singapore PhD studentships (3) Improving surgery in focal epilepsy using computational modelling (School: Computing Science Ref: NSS12) In this project we shall attempt to predict which patients will be seizure free after surgery using human brain connectivity information of patients. For those patients predicted to be not seizure free we shall suggest alternative strategies for surgery. See also our recent article in PLOS CB: http://www.ploscompbiol.org/article/metrics/info%3Adoi%2F10.1371%2Fjournal.… Supervisors: Dr. Peter Taylor, Prof. Marcus Kaiser, and Asst. Prof. Justin Dauwels (NTU, Singapore). The student will be based at Newcastle but also visit Singapore Please apply by 26 February at http://www.ncl.ac.uk/sage/study/postgrad/singapore/ Research Environment There are currently 12 faculty members with a link to neuroinformatics and computational neuroscience. Using computational models for clinical applications is a strong interest of our group (see http://neuroinformatics.ncl.ac.uk/ for an overview). Students will be based in the School of Computing Science, which was ranked #9 for research and #1 for impact in the recent UK Research Excellence Framework evaluation, as part of the ICOS Group (http://ico2s.org/ ). They will also be affiliated with the Institute of Neuroscience which integrates more than 100 principal investigators across medicine, psychology, computer science, and engineering and which was ranked #9 overall and #5 for impact in the UK (http://www.ncl.ac.uk/ion/). Newcastle University, with 20,000 students, lies in the city of Newcastle-upon-Tyne -- an area in the North-East of England with around one million inhabitants. The university is at the centre of Newcastle which itself is on the main train-line between London and Edinburgh, 20 minutes away from both the airport and the sand beach by public transport (http://www.ncl.ac.uk/about/visit/city/ ). We also offer a one-year master programme in Computational Neuroscience and Neuroinformatics (http://www.ncl.ac.uk/computing/study/postgrad/taught/5199/ ) which is now accepting applications. Best, Marcus -- Marcus Kaiser, Ph.D. @ConnectomeLab Professor in Neuroinformatics Interdisciplinary Computing and Complex Biosystems (ICOS) Research Group School of Computing Science Newcastle University Claremont Tower Newcastle upon Tyne NE1 7RU, UK Lab website: http://www.dynamic-connectome.org/ Neuroinformatics@Newcastle: http://neuroinformatics.ncl.ac.uk ====================================================== The School of Psychology is currently inviting applications for a number of postgraduate funding awards to commence in October 2016. The application deadlines for each of these scholarships is 5pm on 31st January 2016. We have one School of Psychology Project-Linked Research Scholarship 2016 for anyone interested in collaborating on a specific project with a supervisory team of two or more academic staff members. In particular there is a project investigating "Cognitive Enhancement Using Brain Stimulation and Physical Exercise". This project involves different methods of electrical brain stimulation (i.e., constant current, alternating current and random noise stimulation as well as galvanic vestibular stimulation), physical exercise (e.g., cycling and running) and measurement (e.g., EEG, EMG and VO2 max or maximal oxygen consumption as a measure of cardiovascular fitness). You are strongly advised to contact the lead supervisor Amir-Homayoun Javadi to request advice for writing the proposal, which should expand on the brief summary given. Research Scholarships 2016: Some scholarships will take the form of School/Vice Chancellor’s Research Scholarships administered under the Graduate Teaching Assistant Scheme. We will also be bidding for ESRC studentships (MSc+PhD and PhD) as part of the South East ESRC Doctoral Training Centre. Please note that applicants will be considered for all forms of funding for which they are eligible therefore, separate applications are not necessary. However, additional materials are required for applications to be considered for ESRC awards (see ‘how to apply’ section of Research Scholarships 2016 advert). Greetings Amir-Homayoun -- Amir-Homayoun Javadi, PhD, Eng. Lecturer in Cognitive Neuroscience Room A2.7, School of Psychology, Keynes College, University of Kent, Canterbury, Kent, CT2 7NP, UK T: +44 (0)1227 82 7770 F: +44 (0)1227 82 7030 E: a.h.javadi(a)kent.ac.uk www.kent.ac.uk/psychology/people/javadia =========================================== at the University of Geneva, Switzerland, we offer a PhD position (neuroscience and psychology) in the domain of meditation research in elderly. Please find the details attached. With best wishes, Olga Klimecki Olga Klimecki, PhD http://cms.unige.ch/fapse/EmotionLab/Members/olga-klimecki/index.php http://www.affective-sciences.org/content/emotion-and-conflict-resolution http://www.tandfonline.com/eprint/gXmrD5weVxPZHj7XXsZy/full Campus Biotech CISA - University of Geneva Chemin des Mines 9 CH-1202 Gen=E8ve 20 Telephone: +41 22 37 90 913 Fax: +41 22 379 06 10 =========================== A 3-year fully-funded PhD studentship is available in the School of Psychology at Bangor University commencing in October 2016. A highly-motivated and creative student with strong written and oral communication skills, and preferably experience with human neuroscience techniques (fMRI, TMS, EEG) is required for this position. The project is part of ongoing research in the Social Brain in Action Laboratory (SoBA Lab), which explores the cognitive and brain systems that underpin our ability to understand the actions and mental states of other people. Further details here - http://www.soba-lab.com/vacancies.html Informal enquiries regarding the PhD position can be directed to Richard Ramsey (r.ramsey [usual] bangor.ac.uk) ================================= We are recruiting 2 researchers to conduct a project on brain mechanisms of attention and rehabilitation in patients with spatial neglect after right brain lesions. The project will include behavioral testing and brain imaging measures with EEG and fMRI, with a special focus on neurofeedback based training of visual attention. It will be carried out in the context of a collaboration between several neuroscience labs at the University of Geneva (UNIGE) and Swiss Polytechnic School of Lausanne (EPFL), located at the Campus Biotech in Geneva where a new multidisciplinary center of excellence in biotechnology and neuroscience has recently been established. Previous experience in neuroimaging techniques is required. The position can start immediately. Funding is guaranteed for a minimum of 2 years, with a possibility of extension as the project will develop. The researchers will join a large and thriving community of neuroscientists, engineers, and psychologists gathered on the Campus Biotech and other institutions in the Geneva lake region. Interested candidates should send their CV with a motivation letter and references to: patrik.vuilleumier(a)unige.ch Laboratory for Behavioural Neurology and Imaging of Cognition (LABNIC), Dept of Neuroscience, University Medical School Dept of Neurology, University Hospital University of Geneva, Switzerland Medical Image Processing Lab (MIPLAB) Department of Radiology and Medical Informatics, HUG School of Engineering, Institute of Bioengineering, EPFL Center for Neuroprosthetics, EPFL Chemin des Mines 9 CH-1202 Geneva, Switzerland http://labnic.unige.ch http://bbl.unige.ch http://www.campusbiotech.ch http://miplab.epfl.ch -- Swann Pichon, PhD Lecturer, Department of psychology University of Geneva, Campus Biotech, bât. H8-2 Chemin des Mines 9, Case postale 60, 1211 Geneva 20 Phone: +41 22 37 90 291 GSM ch/fr: +41 77 46 84 910 / +33 6 26 43 83 61 https://sites.google.com/site/swannpichon/ ===================================== Postdoctoral Research Assistant in Magnetic Resonance Imaging Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, Headington, Oxford Grade 7: £30,434 - £37,394 p.a. (pay award pending) Ultra-high field Magnetic Resonance Imaging (MRI) has undergone enormous advances in the past decade. To ensure the UK’s role in this exciting development, the Medical Research Council has funded the establishment of a UK7T Network with the aims of training postdoctoral researchers in 7T techniques, harmonising protocols for cross-site collaboration, and enabling data sharing, all with the goal of accelerating the clinical exploitation of 7T MRI. We are looking to recruit a Postdoctoral Research Assistant to be based within Oxford’s strong MR Physics Group. In collaboration with colleagues at four other UK7T sites (Cambridge, Cardiff, Nottingham and Glasgow), you will establish sequences and protocols that are optimised for neuroimaging studies at 7T and can be replicated across the network. You will also help establish standards and mechanisms for data sharing, and develop protocols for maximum image homogeneity and minimum power deposition using parallel transmission. The post would be suited to someone with a PhD in physics or engineering. You will have experience with sequence development on high-field scanners (ideally the Siemens platform) and be comfortable communicating to scientists from a range of backgrounds. You should demonstrate knowledge of image reconstruction for MRI and have programming experience in C++, Matlab and Unix scripting. You must be able to manage own academic research and associated activities. Expertise in neuroimaging, particularly functional or diffusion imaging or spectroscopy would be advantageous. For further information, please contact: stuart.clare(a)ndcn.ox.ac.uk. The closing date for applications is 12.00 midday on Monday 11 January 2016. Interviews will be held as soon as possible thereafter. Full details are available at: https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.jobs… ____________________________________________________________________ Karla L. Miller, Professor of Biomedical Engineering Wellcome Trust Career Development Fellow Oxford Centre for Functional MRI of the Brain (FMRIB) John Radcliffe Hospital, Headington, Oxford OX3 9DU, UK tel +44 (0) 1865 222551 http://www.ndcn.ox.ac.uk/team/karla-miller ================================================ A postdoctoral position is available in the UCLA Department of Psychiatry and Biobehavioral Sciences and the Semel Institute for Neuroscience and Human Behavior to study the neural phenotypes associated with reward, emotion, and perception in disorders of body image. Description: Our lab uses functional and structural neuroimaging and psychophysical experiments to understand psychiatric phenotypes across disorders of body image and the obsessive-compulsive spectrum (see http://www.semel.ucla.edu/bddanorexia/current-research). The current project involves understanding reward and emotion in anorexia nervosa, and how this relates longitudinally to clinical outcome. We are also employing and developing novel multimodal imaging techniques using advanced computational modeling. UCLA has a wealth of neuroimaging and clinical resources. You will be joining a productive and collaborative group that utilizes advanced neuroimaging techniques yet is also grounded in a strong clinical understanding of phenomenology of psychiatric populations. Requirements: Ph.D. or M.D./Ph.D. (post residency) in neuroscience, cognitive science, computer science, biomedical engineering, biostatistics, physics, psychology, or related field. We are looking for candidates with experience in the design, collection, and analysis of fMRI data – including statistical analysis software such as FSL, SPM, or others – and experience with advanced computational modeling. The successful applicant will be able to function independently, manage several projects simultaneously, lead and mentor students and research assistants, have excellent computing and programming (Matlab, Python, shell scripting) as well as verbal and written English skills, and an aptitude for writing manuscripts and grant applications. To apply: please send a letter of interest, C.V., and a research statement (no longer than 2 pages) that describes your past research experience and future goals, and three letters of reference sent in confidence to Dr. Jamie Feusner: jfeusner(a)mednet.ucla.edu =========================== Post-doc position: Learning functional-connectivity biomarkers of pathologies Parietal (https://team.inria.fr/parietal/) is looking to fill a post-doc position on learning biomarkers from functional connectivity. Scientific context ------------------ The challenge is to use resting-state fMRI at the level of a population to understand how intrinsic functional connectivity captures pathologies and other cognitive phenotypes. Rest fMRI is a promising tool for large-scale population analysis of brain function as it is easy to acquire and accumulate. Scans for thousands of subjects have already been shared, and more is to come. However, the signature of cognitions in this modality are weak. Extracting biomarkers is a challenging data processing and machine learning problem. This challenge is the expertise of my research group. Medical applications cover a wider range of brain pathologies, for which diagnosis is challenging, such as autism or Alzheimer's disease. This project is a collaboration with the Child Mind Institute (http://www.childmind.org/), experts on psychiatric disorders and resting-state fMRI, and coordinators of the major data sharing initiatives for rest fRMI data (eg ABIDE). Objectives of the project -------------------------- The project hinges on processing of very large rest fMRI databases. Important novelties of the project are: - Building predictive models to discriminate multiple pathologies in large inhomogeneous datasets. - Using and improving advanced connectomics and brain-parcellation techniques in fMRI. Expected results include the discovery of neurophenotypes for several brain pathologies, as well as intrinsic brain structures —eg functional parcellations or connectomes— that carry signatures of cognition. Desired profile ----------------- We are looking for a post-doctoral fellow to hire in spring. The ideal candidate would have some, but not all, of the following expertise and interests: * Experience in advanced processing of fMRI * General knowledge of brain structure and function * Good communication skills to write high-impact neuroscience publications * Good computing skills, in particular with Python. Cluster computing experience is desired. A great research environment ------------------------------ The work environment is dynamic and exiting, using state-of-the-art machine learning to answer challenging functional neuroimaging question. The post-doc will be employed by INRIA (http://www.inria.fr), the lead computing research institute in France. We are a team of computer scientists specialized in image processing and statistical data analysis, integrated in one of the top French brain research centers, NeuroSpin (http://i2bm.cea.fr/dsv/i2bm/Pages/NeuroSpin.aspx), south of Paris. We work mostly in Python. The team includes core contributors to the scikit-learn project (http://scikit-learn.org), for machine learning in Python, and the nilearn project (http://nilearn.github.io), for statistical learning in NeuroImaging. In addition, the post-doc will interact closely with researchers from the Child Mind Institute (http://www.childmind.org), with deep expertise in brain pathologies and in the details of the fMRI acquisitions. Finally, he or she will have access to advanced storage and grid computing facilities at INRIA. **Contact**: gael.varoquaux(a)inria.fr, bertrand.thirion(a)inria.fr **Application**: Interested candidate should send CV and motivation letter -- Gael Varoquaux Researcher, INRIA Parietal NeuroSpin/CEA Saclay , Bat 145, 91191 Gif-sur-Yvette France Phone: ++ 33-1-69-08-79-68 http://gael-varoquaux.info http://twitter.com/GaelVaroquaux ============================================================================== A position of postdoctoral fellow is open immediately in Dr. C.-S. Ray Li’s laboratory at the Department of Psychiatry, Yale University. The position is supported by a T32 grant (PI: Graeme Mason) funded by the NIDA. Candidates should be a US citizen or permanent resident to be eligible. Candidates should have a degree of MD and/or PhD in psychology, neuroscience, engineering or a related discipline. Excellent writing skill and knowledge in systems/cognitive neuroscience as well as experience in Matlab programming and imaging data analysis is highly desirable. Responsibility includes routine execution of MR studies and imaging data analysis, and publication of research results. Candidates are also expected to assist staff in all aspects of research activities and to propose new lines of research. Through the T32 training grant, candidates will have opportunities to participate in wide array of imaging research at Yale Magnetic Resonance Research Center: http://mrrc.yale.edu/education/grants/ Research in our lab focuses on cognitive and addiction neuroscience. We combine experimental psychology, brain imaging (MRI and PET) and clinical assessments to examine psychological constructs and neural processes of importance to addictive disorders, including alcohol and cocaine misuse. In other studies we employ pharmacological manipulation (e.g., catecholaminergic agents) to examine the neurochemical bases of cognitive control in an imaging setting. Current work is funded by the NIAAA, NIDA and NSF. Salary is commensurate with previous experience. Appointment is for one year initially and renewal upon satisfactory performance review. Please send CV and two letters of reference or address questions to: C.-S. Ray Li at chiang-shan.li(a)yale.edu. https://medicine.yale.edu/psychiatry/people/chiang-shan_li-2.profile ============================================================================== Post-doctoral position to study the neural effects of cognitive behavioral therapy in obsessive-compulsive disorder with fMRI Project title: Neurocircuit mechanisms of OCD across the lifespan A post-doctoral position is available in an NIMH-funded study employing functional magnetic resonance imaging to study brain regions previously implicated in obsessive-compulsive disorder (OCD). The study will compare OCD in adolescents near illness onset with adult patients who have suffered OCD over many years and test how cognitive behavioral therapy modulates these networks in adolescents compared to adults. The expected impact of this project is an improved understanding of brain networks relevant for OCD, enabling therapy sensitive to illness stage and appropriate targeting of networks by brain stimulation and/or cognitive training techniques. The ideal candidate will possess a degree in psychology or neuroscience and have already attained experience in fMRI. The position provides the opportunity to join a very active group pursuing mechanistic and translational research in psychiatric disorders (OCD, anxiety, PTSD, psychosis, depression) in adult and pediatric populations. We employ a variety of brain mapping modalities (fMRI, MRS, DTI, ERP), brain stimulation paradigms (TMS, tDCS, DBS) and behavioral interventions (CBT, cognitive training). If interested, please contact: Stephan Taylor, M.D. or Kate Fitzgerald, M.D., University of Michigan Department of Psychiatry, Rachel Upjohn Building, Ann Arbor MI 48109 sftaylor(a)umich.edu; krd(a)umich.edu The University of Michigan is an equal opportunity provider. ============================================================================== Post-doctoral Training in the Cognitive Neuroscience of Aging at the University of Michigan The Computational and Cognitive Neuroscience Lab at the University of Michigan, directed by Dr. Thad Polk, is seeking post-doctoral fellows to work on NIH-funded projects investigating the effects of age on neural representations, using functional MRI (fMRI), magnetic resonance spectroscopy (MRS), and behavioral methods. Post-doctoral fellowships are available starting anytime from April to September 2016 and will be for two years with the possibility of renewal for an additional year. Compensation will be based on standard NIH rates. Candidates should have a Ph.D. in neuroscience, psychology, or a related field. They should also have experience in fMRI or MRS (they will be trained in the other technique during their fellowship), with strong technical skills (e.g. data analysis and/or programming), and a background or strong interest in the cognitive neuroscience of aging. Interested candidates should send a cover letter describing their research background and interests, a CV, and the names of three references to Dr. Thad Polk at tpolk(a)umich.edu. Applications will be considered until the positions are filled. ---------------------------------------------------- Thad A. Polk, Ph.D. Email: tpolk(a)umich.edu Arthur F. Thurnau Professor Phone: (734) 647-6982 Associate Chair, Psychology Fax: (734) 764-3520 University of Michigan Ann Arbor, MI 48109-1109 http://sitemaker.umich.edu/tpolk_lab ============================================================================== I am very pleased to announce that the McConnell Brain Imaging Centre at the MNI/McGill University is recruiting an MRI Physicist at the Assistant Professor level. Please see the attached ad for details. Thank you for circulating the news in your professional network. To learn more about the BIC, visit: http://mcgill.ca/bic. With my very best wishes, Sylvain. Sylvain Baillet, PhD Professor, Neurology, Neurosurgery & Biomedical Engineering Acting Director, McConnell Brain Imaging Centre MNI Killam and FRQS Senior Scholar Montreal Neurological Institute McGill University http://mcgill.ca/bic ============================================================================== The Institute of Psychology (IP), Chinese Academy of Sciences (CAS) warmly invites applications for a full-time faculty position at Assistant or Associate Professor level. The successful applicants would be expected to focus on the computational methods of functional brain imaging, spontaneous brain activity modulation, and their clinical applications in brain disorders (particularly for affective disorders). Candidates will have the opportunity to work in a multidisciplinary setting and interact with a group of functional brain imaging researchers at the Magnetic Resonance Imaging Research Center (MRIRC), IPCAS. The Magnetic Resonance Imaging Research Center (MRIRC) at the IPCAS has the state of the art 3T GE 750 MRI and brain stimulation equipment. The functional brain imaging research group at the MRIRC has particular strength in resting-state fMRI methodology as well as close collaborative resources with psychiatrists. The research group has a wonderful interdisciplinary work environment that greatly encourages collaborations among experts in psychology, neuroscience, computer science, neuroimaging, psychiatry, etc. The IPCAS was established in 1951 in Beijing, and located in a nice area which next to the Olympic Park. Its predecessor was the Institute of Psychology, Academia Sinica, which was founded in 1929. The institute strives to understand the human mind by exploring both the biological and environmental factors underlying the mind and behavior. It also aims to become a world-renowned research center that promotes scientific innovation and socioeconomic development. Candidates should hold a Ph.D. degree in cognitive neuroscience, computational neuroscience, neuroimaging, machine learning, neuropsychiatric disorders, psychology or related fields, with an excellent record of research productivity. The deadline for initial evaluation of applications is January 5, 2016 but applications will be accepted until positions are filled. Interested applicants should send a cover letter, CV, statement of research interest, as well as the names and emails of two references to Dr. Chao-Gan Yan (yancg(a)psych.ac.cn). -- Chao-Gan YAN, Ph.D. Principal Investigator Institute of Psychology, Chinese Academy of Sciences 16 Lincui Road, Chaoyang District, Beijing 100101, China - Initiator DPARSF, DPABI, PRN and The R-fMRI Network (RFMRI.ORG) http://rfmri.org/yan http://scholar.google.com/citations?user=lJQ9B58AAAAJ ============================================================================== The NIMH is starting up a Machine Learning core facility and needs a director. Apply now! Title 42 Staff Scientist / Director Machine Learning Core National Institute of Mental Health, National Institutes of Health Department of Health and Human Services, Bethesda, MD The National Institute of Mental Health (NIMH), a major research component of the National Institutes of Health (NIH), and the Department of Health and Human Services (DHHS), is seeking exceptional candidates for the Director position in the Division of Intramural Research Programs (DIRP) of the newly created Machine Learning Core (MLC). The NIMH DIRP represents one of the largest concentrations of neuroimaging researchers in the world with experts in cognitive neuroscience, mental health, neurological disorders, functional MRI methods and technology, DTI, high field imaging, parallel imaging, spectroscopy, and molecular imaging, among others. The NIH also hosts a world class high performance computing cluster with 20,000+ computing nodes and over a petabyte of storage (http://hpc.nih.gov <http://hpc.nih.gov/>). The new Machine Learning Core will be responsible for developing, facilitating, and supporting machine learning approaches to analyzing human neuroimaging data collected within the NIMH IRP as well as the currently growing number of functional and anatomic imaging databases worldwide. The MLC will also be responsible for assisting investigators in their own research for the search for biomarkers to help diagnose mental health and neurologic disorders in individual subjects. Lastly, MLC will provide extensive education and outreach efforts to help NIMH IRP investigators learn more about machine learning approaches and effectively collaborate with machine learning experts. Candidates must have a Ph.D. in a STEM discipline, post doctoral experience in machine learning approaches, and a passion for applying computational analysis to imaging data towards the goal of deriving biomarkers. Skill and experience in fMRI and MRI acquisition and analysis methods will be considered very favorably. The director’s role will include hiring and supervising junior machine learning specialists, maintain the core’s budget, managing an educational series focused on machine learning for NIMH IRP staff, developing novel and generally useful machine learning approaches, and providing support to investigators in machine learning analyses. Salary will be commensurate with education and experience. Application deadline is March 1, 2016. Applicants should send curriculum vitae and three letters of recommendation to: Peter A. Bandettini, Ph.D. MLCORE-JOBSEARCH(a)mail.nih.gov bandettini(a)nih.gov Building 10, Room 1D80 10 Center Drive Bethesda, MD 20892-1148, 301-402-1333 TTY: MD Relay Operator at 1-800-735-2258. The National Institutes of Health is an equal opportunity employer. http://bit.ly/Machine_Learning_Core_Director ============================================================================== Timone Medical School Campus, Aix-Marseille Université Aix-Marseille Université launches an international call for neuroscience researchers who wish to establish independent research groups in the cutting edge environment of the Timone Medical School campus, Marseille (France). This call is part of the Timone Neuroscience initiative supported by Aix-Marseille Université with the ambition to build an international campus of excellence for basic, computational and clinical neurosciences. With this initiative, the research facilities dedicated to Neuroscience will be extended by an additional 6500m2 funded by the PACA Regional Government and fully supported by Aix-Marseille Université, CNRS and INSERM. The Medical School campus is located in the center of Marseille, next to the largest University Hospital (CHU Timone). The Timone campus already hosts two leading research institutes in neuroscience, the Institut de Neurosciences de la Timone (INT, UMR7289, CNRS & AMU, Director Guillaume Masson) and the Institut de Neurosciences des Systèmes (INS, UMR1106, INSERM & AMU, Director Viktor Jirsa). Successful candidates will join either INT or INS depending on their research interests and will develop their scientific projects in coherence with the respective institute themes. INT emphasizes integrative and clinical neurosciences from cellular to cognitive levels, including cellular and molecular neurobiology, neurophysiology, brain imaging, behavioral neurosciences and primatology; INS emphasizes a multidisciplinary approach to brain dynamics and system neuroscience integrating cognitive, clinical, theoretical and computational neuroscience. Both institutes comprise a total of 15 research teams and have several core facilities for animal and human research, neurobiology and neurophysiology, high-performance computing (The Virtual Brain), as well as pre-clinical and clinical imaging (photonic imaging, 3T MRI, sEEG/EEG, MEG). The following research themes are strongly supported in this call: Functional brain imaging of cognitive dynamics in human and/or non-human primates Theoretical, computational and experimental exploration of cognitive architectures Sensory and/or motor systems, from molecular to behavioral levels In vivo/in vitro functional exploration of cortical or sub-cortical networks Computational neurosciences, from cellular, micro-circuits to large-scale network architectures Modeling neurological and/or psychiatric diseases with pre-clinical or clinical approaches Candidates should be dynamic investigators with an excellent track record, with or without an existing research group. They must have a strong potential to independently develop innovative research programs and be keen to drive ambitious collaborations within INT and INS and beyond, ideally through collaborations with clinical units of the Marseille University Hospital. Biologists and clinicians, as well as scientists with a strong training in cognitive psychology, physics, mathematics, and/or computational sciences, addressing fundamental questions in neuroscience are strongly encouraged to apply. Selection of applications will be based on scientific quality and evaluated by an International Scientific Board. Appropriate laboratory space, depending on group size and seniority, will be made available to the selected group leaders. A competitive start-up package, including contributions to running costs and equipment, access to state-of-the-art core facilities and administrative support, will be complemented by institutional salaries, provided the candidate meets the criteria to compete for national (ANR, FRM..) and international (ERC) research funding and for French institutional research and/or teaching positions (CNRS, Inserm, University, Chair of Excellence, ATIP/Avenir Program). Interested candidates should submit a complete CV, a description of their research interests (achievements and project, max 3 pages) and 3 support letters. More information and application documents can be found at http://www.int.univ-amu.fr/INT-and-INS-call-2016 and http://ins.univ-amu.fr/call-for-research-teams-in-neurosciences/ Please send inquiries and application to: int-direction[no_spam]univ-amu.fr Deadline: February 29th, 2016 New groups will join either INT or INS and will be established in 2016-2017 More information about the Institut de Neurosciences de la Timone (INT) and Institut de Neurosciences des Systèmes (INS) can be found at http://www.int.univ-amu.fr and http://ins.univ-amu.fr =======================

1 0

Fwd: FW: Graph theory analysis in R
by Gary Green 15 Dec '15

15 Dec '15

The following may be of interest to users. I will organise a Thursday evening ynic seminar in the new year to discuss its use and alternative packages Gary -------- Forwarded Message -------- Subject: FW: Graph theory analysis in R Date: Mon, 14 Dec 2015 19:01:40 +0000 From: Watson, Christopher <Christopher.Watson(a)CHILDRENS.HARVARD.EDU> Reply-To: FSL - FMRIB's Software Library <FSL(a)JISCMAIL.AC.UK> To: FSL(a)JISCMAIL.AC.UK Dear FSL users, (apologies for cross-post) I am pleased to announce the release of an R package I created, called "brainGraph", for performing graph theory analyses of brain MRI data. You can use it for cortical thickness, volume, surface area, or LGI. It can also be used for tractography data (I have code that works with the outputs of FSL's "probtrackx2"), and it should work for resting-state fMRI as well. It is very heavily dependent on the fantastic R package "igraph" (see http://igraph.org/redirect.html). I created a GUI for quick and easy data exploration, but it isn't quite as polished as others out there (e.g., BrainNet Viewer). For usage, please see the User Guide I put together (direct PDF link: https://www.dropbox.com/s/j831n3q9muyz1go/brainGraph_UserGuide.pdf?dl=0 ). You will find some code for getting your data into R, and I have documented many analysis steps and include multiple figures. I hope this is intuitive for both veteran and novice R users. Additionally, there are System Requirements, Installation instructions, and links for help learning R. Some features that should be of interest include: * bootstrapping & permutation testing * random graph generation, small-worldness, and global/local/nodal efficiency * rich-club calculations * robustness ("targeted attack" or "random failure") & vulnerability: PDF of figure (PNG: https://www.dropbox.com/s/k14gdg1lomhh4l2/failPlot-1.pdf?dl=0) * Plotting GUI - full GUI (PNG): https://www.dropbox.com/s/e0hdng7flrxsgd2/brainGraph_GUI.png?dl=0 * Plotting GUI - union of vertex neighborhoods (PNG): https://www.dropbox.com/s/aag5cn1p1z9xzxr/brainGraph_GUI_neighborhoods.png?… * Plotting GUI - community (module) plots (PNG): https://www.dropbox.com/s/8zzpd5j268qstmg/brainGraph_GUI_communities.png?dl… You can install it directly in R by typing: install.packages('brainGraph') My Github page for the package (https://github.com/cwatson/brainGraph) contains the development version, and you can install that by typing: devtools::install_github('cwatson/brainGraph') Please see the NEWS.md file (https://github.com/cwatson/brainGraph/blob/master/NEWS.md) for updates made since the CRAN submission. To work properly on Windows, you may need to install the devel version. This is still a work-in-progress, so I am very happy to receive bug reports, feature requests, general coding help questions, (constructive) criticism, etc. Please join the Google Group that I set up for those purposes: https://groups.google.com/forum/?hl=en#!forum/brainGraph-help Chris Watson

1 0

Jump to page:

2026

2025

2024

2023

2022

2021

2020

2019

2018

2017

2016

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006

ynic-users