- ynic-users

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/

11 years

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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

11 years

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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

11 years

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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

11 years

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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 *

11 years

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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

11 years

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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

11 years

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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

11 years

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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>

11 years

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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=

11 years

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YNiC seminar 12th June (external speaker)

by rem

Dear Users This Thursday (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

11 years

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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

11 years, 1 month

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

by Gary Green

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

11 years, 1 month

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Fwd: ECML Connectomics paper submission: June 20, 2014

by Gary Green

*ECML Workshop - “Neural Connectomics: From Imaging to Connectivity” September 15, 2014 - Nancy, France* *Paper submission deadline: June 20, 2014* Description: Understanding the brain structure and some of its alterations caused by disease, is key to accompany research on the treatment of epilepsy and Alzheimer’s disease and other neuropathologies, as well as gaining understanding of the general functioning of the brain and its learning capabilities. At the neural level, recovering the exact wiring of the brain (connectome) including nearly 100 billion neurons, having on average 7000 synaptic connections to other neurons, is a daunting task. The goal of this workshop is to bring together researchers in machine learning and neuroscience to discuss progress and remaining challenges in this exciting and rapidly evolving field. We aim to attract machine learning and computer vision specialists interested in learning about a new problem, as well as computational neuroscientists who may be interested in modeling connectivity data. We will discuss also the results of the First ChaLearn Neural Connectomics Challenge. Topics of interest to the workshop include, but are not limited to: •building connectomes from EM data •building connectomes from fMRI data •building connectomes from neurophysiology data •bridging neuroanatomy and neurophysiology •connectomics and learning •neuroimaging technology advances •network reconstruction algorithms •causality in time series •feature selection vs. causal discovery •generative vs. discriminative modeling •sharing data •sharing code •organizing new challenges •establishing ground truth, benchmarking •quantitative metrics of evaluation •theoretical understanding Important dates: oPaper submission: June 20, 2014 oNotification of acceptance: July 05, 2014 oCamera-ready: July 25, 2014 oECML Workshop: September 15, 2014 Important - Submission Guidelines: We encourage contributions in any of these areas. We welcome 2-page short-form submissions and 6-page long-form submissions. Submissions should be formatted using JMLR Workshop and Proceedings format, style files for which are available at: http://www.tex.ac.uk/tex-archive/help/Catalogue/entries/jmlr.html. We also encourage submissions of previously-published material that is closely related to the workshop topic (for presentation only). Everybody can attend the workshop even if he does not participate in the challenge (http://connectomics.chalearn.org/). Challenge participants are encouraged to contribute a paper on their results and also submit papers for presentation on the topics of the workshop. The papers have to be submitted via Easy Chair: https://www.easychair.org/conferences/?conf=ncw2014

11 years, 1 month

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Fwd: Lectureship (Assistant Professor) Position at Reading

by Gary Green

Please let me bring to your attention the Lectureship Position available in Reading described below. I will be at the Human Brain Mapping Conference next week - please email me if you'd like to arrange an informal chat about the position. Tom Johnstone Professor of Cognitive Neuroscience Job Ref: LE14020 *Application Deadline: 30th June 2014* Salary: £31,301 to £58,231 per annum Hours: Full Time Contract: Permanent The Department of Psychology at the University of Reading is seeking to appoint an outstanding lecturer (UK equiv. to Assistant Professor) to further strengthen the Department's academic profile and to support its ambitious expansion plans. The School hosts the Centre for Integrative Neuroscience and Neurodynamics (CINN) brain imaging facility, with research dedicated MRI, EEG, TMS and eye-tracking systems. The School also houses an NHS child and adolescent mental health clinic and a recently opened NHS clinic for research and treatment of dementia. Applications are welcomed from researchers that build on existing strengths, with preference given to clinical psychology/neuroscience. You will have high quality publications and the talent and aptitude to succeed in an interdisciplinary and highly collegiate environment. Evidence of writing and gaining external grant awards is an advantage. Start up costs and dedicated access to facilities such as the MRI scanner are by negotiation. You will have: - A doctorate in Psychology or a closely related area - The ability to undertake original research, with a strong recent publication track record - The ability to teach at undergraduate and postgraduate levels in at least one core area of psychology - A commitment to excellence in teaching and research at all levels - An ability to work well with students and colleagues, and be respectful and considerate of the skills of others Informal contact details Contact role: Head of School Contact name: Laurie Butler Contact phone: +44 (0)118 378 7543 Contact email: l.t.butler(a)reading.ac.uk Alternative informal contact details Contact role: Head of Department Contact name: Patricia Riddell Contact phone: +44 (0)118 378 6699 Contact email: p.m.riddell(a)reading.ac.uk To formally apply please visit www.reading.ac.uk/Jobs or contact Human Resources, University of Reading, Whiteknights, PO Box 217, Reading RG6 6AH. Telephone +44(0)118 378 6771 (voicemail) Please quote the relevant reference number. We value a diverse workforce and welcome applications from all sections of the community.

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Fwd: Open Position Doctoral student/scientific assistant Ulm

by Gary Green

A part-time position as a doctoral student or scientific assistant is available at the Department of Psychiatry and Psychotherapy III of the University of Ulm in the field of genetic imaging (3 years). The focus is on the genetics of perfusion imaging and imaging endophenotypes of affective disorders. Candidates will be considered until the position is filled. The successful candidate will work in a team forming an international consortium including the BfArM (the German FDA) and the DZNE in Bonn, and partners in Sweden and Canada, funded by the NEURON-Eranet agency. The Department of Psychiatry and Psychotherapy III hosts a cognitive-behavioural Training Institute on its premises. This opening might be of interest to a young psychologist with some experience of neuroimaging and wishing to initiate clinical training in the German system, since there are excellent opportunities to combine the two activities. I will be in Hamburg at the Human Brain Mapping conference, and interested candidates are very welcome to contact me for an informal chat. Roberto Viviani, PhD Assistant Professor of Clinical Psychology

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Reminder MEG/EEG meeting today

by Markus van Ackeren

Dear all, Just a reminder about the MEG/EEG meeting today. Andrew Quinn will talk about: 'State Dynamics In Endogenous Brain Networks'. The meeting will take place at 12pm in B204. Best, Markus -- Markus J. van Ackeren PhD Student Department of Psychology University of York YO10 5DD, UK Email: mjva500(a)york.ac.uk

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YNiC seminar cancelled

by rem

Dear Users I'm afraid Gary Green is unwell today. Therefore Gary's talk, which was scheduled for this afternoon, will have to be postponed. 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

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Fwd: 3 PhD Positions in NLP - Fondazione Bruno Kessler

by Gary Green

We have received this. Not neuroimaging but might be of interest ========== Have you recently completed or expect very soon an MSc or equivalent degree in computer science, artificial intelligence, computational linguistics, engineering or a closely related area? Are you interested in carrying out research on NLP during the next years? Are you excited to spend a part of your life in a pleasant city in the heart of the Italian Alps? WE ARE LOOKING FOR YOU!!! The Human Language Technology (HLT) group at Fondazione Bruno Kessler (Trento, Italy) in conjunction with the the ICT International Doctorate School of the University of Trento <http://ict.unitn.it/>is pleased to announce the availability of three fully-funded 3-year PhDpositions in the following NLP topics: * Machine Translation: Human in the loop for advanced machine translation <http://hlt.fbk.eu/open-positions/PhD_Fellowships_to_start_in_2014> * Automatic Speech Recognition: Acoustic Modeling for Speech Recognition <http://hlt.fbk.eu/open-positions/PhD_Fellowships_to_start_in_2014> * Content Processing: Building the Web of Data exploiting Natural Language Processing <http://hlt.fbk.eu/open-positions/PhD_Fellowships_to_start_in_2014> Job Description The first year is mainly devoted to the acquisition of scientific knowledge at both basic and high level. During the second year the PhD candidate will deepen his/her scientific knowledge and starts to establish his/her thesis work, identifying the objectives and research activities to be developed within the thesis. During the third year, the PhD candidate will focus on his/her personal contribution to the state-of-the-art on the chosen research problem and/or to the development of the proposed technological innovation. The research activity of the PhD candidate will be closely related to EU projects. This will allow the PhD candidate to develop collaborations with other researchers participating in these research projects and it may also allow him/her to spend part of his research activity at partner laboratories. Possibility of internships in academia and industry. The PhD candidates have to pass the selection of the ICT Doctorate School to be enrolled as PhD students. The starting date of PhD program flexible after September, 2014. Profile The applicant must have recently completed or expect very soon an MSc or equivalent degree in computer science, artificial intelligence, computational linguistics, engineering or a closely related area. In addition, the applicant should * have strong curiosity to solve problems in natural language processing * have a strong background in statistics, probability theory and machine learning * have excellent programming skills in at least one of the following languages: C, C++, or Java * enjoy working with real-world problems and large data sets * Good knowledge of written and spoken English * enjoy working in a closely collaborating team Working Environment The doctoral student will be employed at the HLT group, a unit for research in natural language processing at the Fondazione Bruno Kessler, Trento, Italy. The group has a long tradition in research on machine translation, automatic speech recognition and content processing. Currently, the HLT groups is involved in several European projects such as Matecat, Eu-Bridge and Excitement. Former students are nowadays employed in leader IT companies in the world. Important Dates The opening of the call is expected at the beginning of May 2014. Potential candidates are strongly invited to contact us in advance for preliminary interviews. There is also the possibility to begin with an internships at our group during the Summer before the official PhD program starts, sport facilities. Benefits Fondazione Bruno Kessler offers an attractive benefits package, including a flexible work week, full reimbursement for conferences and summer schools, competitive salary, an excellent team of supervisors and mentors, help for housing (and partial reimbursement), full health insurance, possibility of Italian courses, sporting facilities. Further Information For further information about the position, please contact: Dr. Claudio Giuliano (giuliano(a)fbk.eu <mailto:giuliano@fbk.eu>).

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Fwd: Post-doc and PhD positions in the research group for Cognitive Control, Communication and Perception, HSE, Moscow

by Gary Green

The Faculty of Psychology, Higher School of Economics (HSE, Moscow) is pleased to announce a number of post-doctoral and PhD student positions at the new research group for Cognitive Control, Communication and Perception, which is currently being established at HSE, Center for Neuroeconomics and Cognitive Studies. This new international group will operate in collaboration with the Centre of Functionally Integrative Neuroscience at Aarhus University (Denmark), Psychology Department at Northumbria University Newcastle (UK), and other international collaborators. Our key international coordinators are Professor Yury Shtyrov (Aarhus) and Dr Andriy Myachykov (Northumbria). The postholders will have an advantage of being able to further define and expand the newly established research program. Potential topics include (but are not limited to): neural dynamics of language comprehension, automaticity and top-down control in communication, sensory-motor integration in cognitive functions, embodied cognition, interactions between domain-specific and domain-general cognitive systems, neurocognitive bases of language acquisition, studies of communication deficits (e.g. aphasia) etc. Research facilities include multi-channel EEG, navigated TMS-EEG and eye- tracking equipment, all recently installed at the Faculty, as well as local access to MEG, fMRI and a range of neurological populations. The HSE is a young, dynamic, fast-growing Russian research university providing unique research opportunities (http://hse.ru/en,http://psy.hse.ru/en/ <http://hse.ru/en,http:/psy.hse.ru/en/>). The Faculty of Psychology is committed to developing various areas of modern experimental psychology and, most crucially, Cognitive Neuroscience. Working conditions: - Access to multimodal neuroimaging facilities (brain-navigated TMS, multichanel EGG, MEG, eye-tracking, etc. http://psy.hse.ru/en/res-center) - Internationally competitive salary, 13% flat income tax rate and other benefits - Generous travel support and research grants provided by the University’s Centre for Advanced Studies (www.cas.hse.ru <http://www.cas.hse.ru/>) - Low teaching load, minimal administrative service required - Heavy emphasis on high quality research Requirements for the PostDoc position: position - Ph.D. in psychology, cognitive neuroscience, language sciences or related fields - Fluent English (knowledge of Russian is not required) - Demonstrated ability and high motivation to conduct high-quality research publishable in quality international peer-reviewed journals Requirements for the PhD student position: -MS degree in psychology, cognitive neuroscience, language sciences or related fields - Fluent English (knowledge of Russian is not required) - Demonstrated ability and high motivation to conduct high-quality research publishable in quality international peer-reviewed journals Generally appointments will be made for an initial 2,5-year period and upon successful completion of an interim review, contracts would normally be extended for a further three years until the tenure review. Please provide a CV, at least 2 letters of reference forwarded directly, a statement of research interest and a recent research paper. All materials should be addressed to Dr. Viсtoria Moiseeva, no later than June 20. If you have any further questions, please contact Dr. Viсtoria Moiseeva vmoiseeva(a)hse.ru <mailto:moiseeva.victoria@gmail.com> Best wishes, Olga Ph.D. Researcher Institute of Higher Nervous Activity and Neurophysiology RAS +79268365593

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Fwd: Fwd: PhD position in computational modelling

by Gary Green

*Job offer* The *Max Planck Institute for Human Cognitive and Brain Sciences* *Leipzig *and the *Collaborative Research Center****(CRC) 1052* "Obesity mechanisms" at the *Leipzig University Hospital* are offering a *PhD studentship**in computational modelling*. Within the project, computational modelling is used to investigate leaning and decision-making in humans. The project is aimed at the multi-modal integration of available and newly acquired genetic, behavioral and structural/functional magnetic resonance imaging (MRI) data towards comprehensive computational and neurocognitive models of cognitive control over behavior. Work will be carried out at the Max Planck Institute for Human Cognitive and Brain Sciences Leipzig under the supervision of Dr Jane Neumann and Dr Annette Horstmann. Both Leipzig‘s long tradition in conducting neuroscientific research and the ultra-modern equipment at the Max Planck Institute provide an environment that offers new perspectives in neuroimaging research. Further, the position will be part of the CRCs Integrated Research Training Group. This graduate program offers interdisciplinary qualification in various research methods and transferable skills, and provides support in career planning and in establishing an own scientific network. Applicants should hold a Master's degree (or equivalent) in one of the following disciplines: computational or cognitive neuroscience, computer science, mathematics, physics, cognitive science or related. Prior experience in the field of computational neuroscience and/or neuroimaging are of great advantage. Sound knowledge of statistics and excellent programming skills are essential. A good command of written and spoken English is requested of all applicants. Please send your application as a single pdf-file to _neumann(a)cbs.mpg.de_ referring to 'Modelling SFB 1052'. Complete applications include cover letter, CV, letter(s) of recommendation, and copies of university degrees and additional certificates. Informal enquiries should be made to Dr Jane Neumann (_neumann(a)cbs.mpg.de_, +49 (0) 341 99 40 26 21). Note that Dr. Neumann and Dr. Horstmann will be available for meeting at*OHBM 2014* in Hamburg. The salary is based on the German E 13 TV-L salary scale. In order to increase the proportion of female staff members, applications from female scientists are particularly encouraged. Disabled applicants are preferred if qualification is equal. Deadline for application: until position is filled

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Fwd: Neuroscience RA

by Gary Green

A Full-Time Neuroscience Research Assistant position is available in the Cognitive Control & Psychopathology Lab at Washington University, St. Louis (PI: Todd Braver). The lab conducts cognitive neuroscience research on memory and executive function. Responsibilities include programming, fMRI data analysis, and general assistance with research projects in the lab. Minimum Qualifications include: BA/BS required with concentration in Cognitive Neuroscience, Biomedical Engineering, Computer Science, Statistics, or related field. Proficiency with one or more of the following programming languages: Python, MATLAB, R. Research experience in the behavioral or neural sciences. Experience (>1 year) with fMRI or other cognitive neuroscience methods will be given preference. Good interpersonal/organizational skills. To apply, visit https://jobs.wustl.edu (job number 28282). In addition to filling out an application form, please attach a resume and a cover letter including a brief statement of research interests and the names and contact information for 2 references. Washington University is an Equal Opportunity/Affirmative Action Employer. Contact information: Todd Braver, Ph.D. Professor of Psychology, Neuroscience, and Radiology c/o Carol Cox Department of Psychology, Campus Box 1125 Washington University St. Louis, MO 63130 ccox(a)wustl.edu

11 years, 1 month

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MEG/EEG research group meeting

by Markus van Ackeren

Dear all, The next MEG/EEG research group meeting will be this Thursday (5th June) at 12pm in B204. Andrew Quinn will tell us about his work on 'State Dynamics In Endogenous Brain Networks'. Best, Markus -- Markus J. van Ackeren PhD Student Department of Psychology University of York YO10 5DD, UK Email: mjva500(a)york.ac.uk

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YNiC seminar 5th June

by rem

Dear Users This Thursday (starting 4 pm in B020, Department of Psychology) Prof. Gary Green will give a talk on "Progress in molecular imaging". Everyone is welcome to attend and refreshments will be served afterwards. 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

11 years, 1 month

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Useful stuff?

by Philip Quinlan

Hi Occasionally I torment myself and revisit a task switching study that I have yet to get closure on. You may find the following helpful - sorry if this is old news. I recently discovered this paper Woo, C.-W., Krishnan, A., & Wager, T. D. (2014). Cluster-extent based thresholding in fMRI analyses: Pitfalls and recommendations. Neuroimage, 91, 412-419. doi: http://dx.doi.org/10.1016/j.neuroimage.2013.12.058 which offers some seemingly sensible rules of thumb regarding whole brain analyses and cluster correction (regardless I’m sticking with .005!) In addition I have found the following matlab tools very useful tal2mni.m mni2tal.m that can be downloaded from here http://imaging.mrc-cbu.cam.ac.uk/imaging/MniTalairach you will need spm-matrix.m but this can be downloaded here https://code.google.com/p/fieldtrip/source/browse/trunk/external/spm8/spm_m…. In return my Munster converter has stopped working due to JAVA issues any advice gratefully received. Philip. ************************************************************************** Philip Quinlan E-Mail: philip.quinlan(a)york.ac.uk Department of Psychology FAX: (01904) 323181 The University of York Tel: (01904) 320000 Ext. 3135 Heslington Direct: (01904) 323135 York YO10 5DD U.K. ******************************MINI***************************************

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