ynic-users June 2014

ynic-users@ynic.york.ac.uk

5 participants
44 discussions

Fwd: ] 2014 Tübingen MEG Symposium, Oct 27-28, 2014, Tübingen, Germany

by Gary Green

You may be interested in this. ------------------------- The MEG Center Tübingen is pleased to announce the: 2014 Tübingen MEG Symposium The symposium takes place on October 27 and 28, 2014. It brings together leading researchers in the field of MEG and related disciplines. Join us in Tübingen to learn about the latest advances in MEG research and beyond. For more information and registration, please visit http://meg.medizin.uni-tuebingen.de/2014/

10 years, 10 months

YNiC Science Day: 13th August

by Beth Jefferies

Dear YNiC users, To celebrate and disseminate the exciting work being done by researchers at the York Neuroimaging Centre, we are planning a YNiC Science Day on the 13th August, from 1.30-5pm. There will be a series of short research talks by staff and students who use YNiC, and an opportunity to meet people using neuroimaging and neurostimulation methods. If you are interested in giving a talk, please contact Beth Jefferies ( beth.jefferies(a)york.ac.uk). Hope to see you there, Beth -- Beth Jefferies Department of Psychology, University of York, UK +44 01904 324368

10 years, 10 months

YNiC seminar today (external speaker)

by rem

Dear Users This afternoon (starting 4 pm in B020, Department of Psychology) Dr. Mark Woolrich from the Oxford Centre for Human Brain Activity will give a talk on "Fast transient networks in spontaneous brain activity". Abstract: In recent years interest has grown in the study of networks of functionally specific brain regions, principally through the use of functional MRI on the resting brain. Resting state brain networks have also been independently identified in magentoencephalography (MEG) data by looking at correlations in the power of oscillations in specific frequency bands [Brookes et al., PNAS, 2011]. However, the mechanisms and dynamics underlying resting-state brain activity remain under debate. In this talk I will present a two-pronged approach to investigating spontaneous brain activity using MEG. First, the use of a novel hidden Markov model approach to identify resting state brain networks that switch on the order of 100ms, much faster than has previously been reported. Second, the use of computational network models, based on anatomical white matter connectivity, that can simulate functional connectivity characteristics similar to those seen in real MEG data. Everyone is welcome to attend and refreshments will be served in the C block reception afterwards. We will be taking Mark out for dinner after his talk. Please let me know if you would like to join us. Best wishes Rebecca -- ************************************************************************ Dr. Rebecca E. Millman Science Liaison Officer York Neuroimaging Centre The Biocentre York Science Park Heslington YO10 5DG Tel: +44 (0) 1904 567614 Fax: +44 (0) 1904 435356

10 years, 10 months

Fwd:Method development for coupled EEG-fMRI (2x full EPSRC PhD studentships)

by Gary Green

Method development for coupled EEG-fMRI (2x full EPSRC PhD studentships) The goal of the project is to develop novel methods for the joint analysis of signals from electroencephalography (EEG) and functional magnetic resonance imaging (fMRI), when they are obtained concurrently. Technological advances of the last 10 years make it possible for scientists to record both modalities concurrently, in what is now known as coupled EEG-fMRI. By simultaneously recording these two modalities, scientists can potentially say where and when neural activity is occurring, whereas previously researchers had to settle for one or the other. This engineering feat, however, has not yet been met with the ability to make use of the combination of these signals to infer more knowledge than would otherwise be gathered in separate experiments. Filling this gap is the ambition of the present project. This is a method project, which requires skills and knowledge in neuroscience, applied mathematics/statistics/physics and programming. Candidates who have a strong background in at least two of these three fields are encouraged to apply, if they are enthusiastic about the third. Two full studentships are available, and we expect to appoint one candidate who is stronger in empirical work and a second who is stronger in analytics. Candidates are expected to have had some prior exposure to at least one of the two modalities, but will receive training in both. The two students will be supervised by Dr. Etienne Roesch and receive support from Dr. Michael Lindner and Prof. Tom Johnstone, with R&D support from Brain Products, one of the world’s leading manufacturers of MRI-compatible EEG systems. The group led by Dr. Roesch fosters interdisciplinary thinking, and students will have the opportunity to engage in ongoing empirical and modelling work related to perception and action. The Centre for Integrative Neuroscience and Neurodynamics (CINN) is host to a research-dedicated 3T Siemens TRIO, with a full license for sequence development, and a full suite of MR-compatible systems. Additionally, the students will be granted access to the cluster of NVIDIA Tesla GPUs and other facilities at CINN, as well as at the Brain Embodiments Laboratory, in the School of Systems Engineering. The University of Reading is ranked as one of the UK’s 20 most research-intensive universities and as one of the top 200 universities in the world (Times Higher Education 2013). Our campus was voted first in the Times Higher Education Student Experience survey and has a Green Flag Award. It is situated 25 minutes West of London. Reading University Students’ Union was voted the 6th best in the UK (National Student Survey 2012). Essentials: Commitment to academic research and personal development; Ability to work collaboratively; Effective interpersonal and communication skills, including writing to a high standard, document preparation for technical notes and journal papers; Experience of work in interdisciplinary settings; Attention to details. Desirables: Self-guided work in developing statistical designs and approaches in research; Creative approach to problem solving; Ability to work independently; Experience in giving presentations and conveying complex ideas clearly. Eligibility: Applicants should hold a minimum of a UK Honours Degree at 2:1 level or equivalent in a relevant subject. Please note that due to restrictions on the funding this studentship is for UK/EU applicants only. Funding Details: Studentship will cover Home/EU Fees, pay the Research Council minimum stipend (£13,863 in 2014/15) for up to 3 years and include funding for international conferences. How to apply: To apply for this studentship please submit an application for a PhD in Cybernetics (full time) to the University – see http://www.reading.ac.uk/Study/apply/pg-applicationform.aspx . In the section ‘Research proposal’, please upload or copy-paste your covering letter. When prompted as part of your online application, you should provide details of the funding you are applying for, quoting the reference GS14-68. Once you have submitted your application, you should receive an email to confirm receipt of your online application. Please forward this email, along with your covering letter and CV (as pdf), to Dr. Etienne B. Roesch, e.b.roesch(a)reading.ac.uk, by the application deadline. Application Deadline: Monday 14th July 2014 (interviews in August) Further Enquiries: Please contact Dr. Etienne B. Roesch, e.b.roesch(a)reading.ac.uk. ––– Dr. Etienne B. Roesch Lecturer (Assistant Professor) in Cognitive Science University of Reading, UK http://doodle.com/MeetWithEtienne Too brief of an email? Here's why! http://emailcharter.org _______________________________________________ Eeglablist page: http://sccn.ucsd.edu/eeglab/eeglabmail.html To unsubscribe, send an empty email to eeglablist-unsubscribe(a)sccn.ucsd.edu For digest mode, send an email with the subject "set digest mime" to eeglablist-request(a)sccn.ucsd.edu

10 years, 10 months

Fwd:Postdoctoral fellowship on multimodal neuroimaging at Duke-NUS Graduate Medical School, National University of Singapore

by Gary Green

** ** **Postdoctoral Fellowship at Duke-National University of Singapore* Multimodal Neuroimaging in Neuropsychiatric Disorders Laboratory, Center for Cognitive Neuroscience at Duke-NUS Graduate Medical School, National University of Singapore is looking for postdoctoral fellow in cognitive neuroscience and/or multimodal neuroimaging. * * Our groupstudies the human neural bases of social-emotion, cognition, and memory functions and the associated vulnerability patterns in neuropsychiatric disorders, including neurodegenerative diseases (focusing on AD, FTD and preclinical stages) and Schizophrenia. Multimodal neuroimaging and psychophysical techniques are employed, including magnetic resonance imaging (MRI), functional MRI, diffusion tensor imaging, and electroencephalography (EEG). We are interested in examining the network-level structural and functional brain connectivity to shed light on the neurobiological mechanism of disease, paving the way for early detection and intervention. Candidates must have a passionate enthusiasm for research, a strong background in one of the following fields: cognitive neuroscience, neuropsychiatric disorders, neuroimaging analyses, mathematics/statistics/machine learning or related-fields. He/She should also possess the ability to take the initiative, work independently and be motivated to work in a highly collaborative and international research environment, and be able to demonstrate creativity, technical independence and excellent communication skills. Strong interest in studying social-emotion/cognition/memory functions and/or applications of multimodal neuroimaging in neuropsychiatric disorders is preferred. Proven skills in fMRI/EEG/DTI data analyses is a plus but not necessary. Key attractions are access to a 3T Tim Trio MR scanner and a MR compatible digital EEG system as well as collaboration opportunities with an excellent network of domestic and international scientists and doctors. The position will be two years with possible extension. Competitive package will be provided based on experience. Interested applicants are welcome to email Assistant Prof. Helen Juan Zhou at _helen.zhou(a)duke-nus.edu.sg <mailto:helen.zhou@duke-nus.edu.sg>_with application letter, curriculum vitae, three references, and contact information. Website: _https://sites.google.com/site/mneuroimaginglab/_; http://www.duke-nus.edu.sg/content/zhou-juan-helen Â *

10 years, 10 months

Fwd: PhD postion at the University of Tübingen, Germany

by Gary Green

Ph.D. position at the University of Tübingen, Germany in the EU-ITN project: *Central effects of gut microbiota manipulation* JOB DESCRIPTION We invite applications for a three‐year Early Stage Researcher (Ph.D. student) position being part of the Marie Curie Initial Training Network NeuroGut (www.neurogut.eu). A strong interest and background in neurosciences is wanted. In animal models as well as in humans, the gut microbiota has been shown to modulate central functions, e.g. the ingestion behavior and response to stress. This has so far been shown to be associated with obesity and other eating disorders but not yet for gut functions and functional gastrointestinal disorders. Whether application of prebiotics and probiotics of different bacterial strains will affect central processing of gut and central (neurocognitive) stimuli is unknown but aim of the current project. The candidate will learn one or more of the current state‐of‐the‐art brain recording techniques (preferentially magnetoencephalography) at the respective neuroimaging facilities at Tübingen University Medical Faculty, first by being involved in ongoing studies while preparing his/her own project. He/she will conduct a first study in healthy volunteers investigating the peripheral (microbiota) and central (sensory and neurocognitive) changes after acute and chronic intake of a probiotic (either as food or as drug). This will eventually be followed by a similar study in patients with either functional bowel disorders (such as the irritable bowel syndrome, IBS) or with psychiatric or neurologic dysfunctions. Highly competitive salary as well as funds to participate in training activities of the NeuroGut network as well as in international conferences will be provided. The candidate will also enrol in the PhD program of the Graduate Training Center of Neuroscience at Eberhard Karls University Tübingen (http://www.neuroschool‐tuebingen.de) for lectures, seminars, and other learning activities. Please send CV and application letter to Prof. Paul Enck at (paul.enck(a)xn--unituebingen-i09f.de). Application deadline for this position is June 30th, 2014. A decision will be communicated before July 31st, 2014. Further information on the European NeuroGut Initial Training Network can be found at [www.neurogut.eu] ORGANISATION / INSTITUTE CONTACT DATA University Hospital Tübingen, Germany Department of Internal Medicine VI: Psychosomatic Medicine and Psychotherapy ‐ Research Laboratories ‐ Director of Research: Prof. Dr. Paul Enck Frondsbergstr. 23, 72076 Tübingen, Germany E‐MAIL: paul.enck(a)xn--unituebingen-i09f.de PHONE office: +49 7071 29‐89118; cell: +49 179 4986459, FAX: +49 7071 29‐4382 WEBSITE: http://www.psychosomatik‐tuebingen.de/de/index.php ENVISAGED JOB STARTING DATE: September 1st, 2014 or later DEGREE: Master degree or equivalent in medical sciences, biological sciences, psychology or similar with an emphasis on neurosciences IMPROTANT: Candidates must not have resided or carried out their main activity in Germany for more than 12 months in the 3 years immediately prior to their recruitment. The candidate should not possess a Ph.D. and should have less than 4 years of research experience after graduation with a degree allowing to start a Ph.D. thesis. -- Prof. Christoph Braun MEG-Center University of Tübingen Otfried-Müller-Str. 47 72076 Tübingen Germany Tel: +49 (0)7071 29 87705 Fax: +49 (0)7071 29 5706 Email:christoph.braun@uni-tuebingen.de

10 years, 10 months

Fwd: [ PhD position, Department of Systems Neuroscience (Hamburg, Germany)

by Gary Green

PhD position - Fear, Anxiety & Stress Department of Systems Neuroscience, Hamburg A DFG-funded PhD position (up to 3 yrs, subject to final release of funds) is available at the Department of Systems Neuroscience / University Medical Center Hamburg-Eppendorf in Hamburg, Germany. Starting date is as soon as possible, at the latest during autumn 2014. The fear, anxiety and stress group is looking for a PhD candidate to work on projects on return of fear using fMRI and psychophysiological measures. The research group integrated in the Collaborative Research Center (SFB TRR 58 “Fear, Anxiety, Anxiety Disorders”) which brings together human, rodent and molecular researchers on fear, anxiety and anxiety disorders from three German universities (Hamburg, Münster, Würzburg). More information about the group can be found here http://www.uke.de/institute/systemische-neurowissenschaften/index_90307.php. The successful candidate will primarily be responsible for collecting and analyzing fMRI and behavioral data, writing scientific papers and giving scientific presentations. The ideal candidate should have a Diploma/Master in psychology, neuroscience, or a related field. Experience with programming skills (e.g. Matlab, Presentation), statistical analysis software (e.g. SPSS, R) and acquisition and analysis of fMRI (e.g. SPM) and psychophysiological measures are highly desired but not mandatory. Strong interests in the field of neuroimaging and (experimental) fear/anxiety research are valuable. The Department of Systems Neuroscience (head: Prof. Christian Büchel) provides an excellent multi-disciplinary and highly interactive neuroimaging environment with its own physics, psychology and clinical neuroscience groups as well as a research dedicated 3T MR scanner, EEG-, psychophysiology and eye-tracking laboratories. The institute hosts an international graduate school that offers a comprehensive program covering all areas of neuroscience and provides PhD students with an excellent research environment. For questions about the project please contact Dr. Tina Lonsdorf (see below). Candidates should submit a CV, diploma/masters degree, names and contact information of 1-2 references and a brief statement of research interest by e-mail to Dr. Tina Lonsdorf (t.lonsdorf(a)uke.de). Applications will be considered until the position is filled. best regards Tina Lonsdorf -- ********************************************************************** Dr. Tina B. Lonsdorf Research group "Fear, Anxiety & Stress" http://www.uke.de/institute/systemische-neurowissenschaften/index_90307.php http://sfbtrr58.uni-muenster.de/81.0.html Institute for Systems Neuroscience University Medical Center Hamburg-Eppendorf 20246 Hamburg Germany tel: +49 - 40 - 7410 55769 fax: +49 - 40 - 7410 59955 ********************************************************************** -- DANKE FÜR 125 JAHRE ENGAGEMENT UND VERTRAUEN. www.uke.de/125 _____________________________________________________________________ Besuchen Sie uns auf: www.uke.de _____________________________________________________________________ Universitätsklinikum Hamburg-Eppendorf; Körperschaft des öffentlichen Rechts; Gerichtsstand: Hamburg Vorstandsmitglieder: Prof. Dr. Christian Gerloff (Vertreter des Vorsitzenden), Prof. Dr. Dr. Uwe Koch-Gromus, Joachim Prölß, Rainer Schoppik _____________________________________________________________________ SAVE PAPER - THINK BEFORE PRINTING

10 years, 10 months

Fwd: PhD position, computational neuroimaging, Dresden/Germany

by Gary Green

--------- The Department of Psychology, Institute of General Psychology, Biopsychology and Methods of Psychology, Chair of Neuroimaging (Prof. Dr. Stefan Kiebel) invites applications for a Member of academic staff / PhD student (E 13 TV-L) with 50 % of the fulltime weekly hours. The position will start (ideally) on 01.10.2014. The PhD position is initially limited for 3 years. A contract extension for a fourth year is possible. The period of employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz - WissZeitVG). The main research goal is the development and experimental testing of novel computational models of decision making. The computational models typically employ Bayesian inference and experiments are performed using fMRI and EEG. The Chair of Neuroimaging has full access to all experimental facilities at the Neuroimaging Center at the TU Dresden. The Neuroimaging Center is equipped with a research-only MRI scanner (Siemens 3T TIM Trio), MRI-compatible EEG and eye tracking, and a transcranial magnetic stimulation (TMS) unit. All experimental facilities are supported by experienced physics and IT staff. For computational work, the group has access to the TU Dresden high-performance computing clusters. The Chair of Neuroimaging will be newly established at the TU Dresden, and will move from the Max Planck Institute in Leipzig (http://www.cbs.mpg.de/depts/n-3/dyn/@@index.html) to Dresden. Tasks: The PhD student will work on a series of projects in the area of decision making using computational modelling of behavioural and neuroscientific data. Requirements: The candidate should have either (i) a university degree in psychology or cognitive neuroscience and a strong interest in computational modeling, or (ii) a university degree in mathematics, computational neuroscience, physics, or similar with a strong interest in performing neuroimaging experiments for testing computational models. The position is ideal for candidates interested in research at the interface between computational modeling and experimental neuroimaging. For questions or an informal discussion about this position please contact Prof. Stefan Kiebel (stefan.kiebel(a)tu-dresden.de). Applications from women are particularly welcome. The same applies to people with disabilities. Applicants should send their application documents (cover letter including a brief description of personal qualifications and future research interests, CV and contact details of two personal references) until 07.07.2014 (stamped arrival date of the university central mail service applies) - preferentially via e-mail as a single PDF-file - to julia.herdin(a)tudresden.de (Please note: We are currently not able to receive electronically signed and encrypted data.) or to TU Dresden, Fakultät Mathematik und Naturwissenschaften, Fachrichtung Psychologie, Institut für Allgemeine Psychologie, Biopsychologie und Methoden der Psychologie, Professur für Neuroimaging, Herrn Prof. Dr. Stefan Kiebel, 01062 Dresden. -- Stefan Kiebel, Ph.D. Professor of Neuroimaging Dept of Psychology Technical University Dresden, Germany Max Planck Institute for Human Cognitive and Brain Sciences Leipzig, Germany http://www.cbs.mpg.de/~kiebel

10 years, 10 months

Fwd: Post-Doctoral Fellow Position - Wake Forest

by Gary Green

*Post-Doctoral Position in neuroimaging of mild TBI* *Advanced Neuroscience Imaging Research Lab, Wake Forest University, Winston-Salem, NC* An NIH-funded post-doctoral position is available for a highly motivated scientist for research in sports concussion and brain imaging methods including functional MRI, diffusion tensor imaging, ASL, voxel-based morphometery, and magneto-encephalography. The position is in the Advanced Neuroscience Imaging Research Lab at the Wake Forest University School of Medicine. The research project involves studying sports related sub-concussive impacts using biomechanical measures, cognitive testing, and multimodal imaging data. The candidate will have opportunities to develop skills in imaging techniques, experimental design, data analyses, and cognitive/sensory neuroscience. Candidates should have strong analytical and computer skills including familiarity with Unix, Matlab, SPM and/or FSL. This post will involve working with other collaborative members of the project (including imaging scientists, cognitive neuroscientists, biostatisticians, and biomechanical engineers), and developing and applying brain image analysis software tools. Applicants should have a Ph.D., M.D., or equivalent in any of the following areas: neuroscience, neuroimaging, biomedical engineering, machine-learning, network science, cognitive neuroscience, sports-related physiology, or MR-related disciplines. Previous experience in functional brain imaging, statistical signal processing or cognitive/systems neuroscience is preferred. Link to online application:http://www.wakehealth.edu/HR/Jobs-Search-Results.htm?st=6552&ca… Interested applicants may also send their curriculum vitae to: Joseph Maldjian, MD Department of Radiology Wake Forest University School of Medicine Winston-Salem, NC 27157 maldjian(a)wakehealth.edu <mailto:maldjian@wakehealth.edu> www.ansir.wfubmc.edu <http://www.ansir.wfubmc.edu>

10 years, 10 months

Fwd: Post-doctoral Position - University of Miami

by Gary Green

University of Miami, College of Arts & Sciences, Department of Psychology Post-doctoral Associate position. The Bridging Research on Anxiety, Innovations, and Neuroscience (BRAIN) Group in the Department of Psychology seeks a full-time post-doctoral fellow to join their neuroimaging research team. The start date is flexible, although Summer/Fall 2014 is preferred. Individuals interested in understanding the neural correlates of anxiety disorders are particularly encouraged to apply. Research focuses on functional neuroimaging and translational approaches to the study of fear/safety learning and attention using a developmental perspective. Additional information can be found at http://www.psy.miami.edu/brain/. Successful applicants should have completed a Ph.D. in psychology, neuroscience, or a related field. Candidates should also have a strong publication record including neuroimaging studies and substantial experience with data analysis (e.g., AFNI, SPM, statistical analysis (e.g., SPSS) and computer programming (e.g., Eprime, Matlab). Applicants must submit an application through the University of Miami Careers website and send a cover letter describing research interests and career goals, CV and 3 letters of reference to Jennifer Britton, Ph.D. (j.britton(a)miami.edu). Applications will be considered on a rolling basis until the position is filled. Position# 049558 The University of Miami offers competitive salaries and a comprehensive benefits package including medical and dental benefits, tuition remission, vacation, paid holidays and much more. The University of Miami is an Equal Opportunity/Affirmative Action Employer. Link to Application: http://um.hodesiq.com/job_detail.asp?JobID=4489062&user_id=&ViewAll=

10 years, 10 months

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ynic-users June 2014