- ynic-users

MEG research group meeting
by Markus van Ackeren 30 Jan '14

30 Jan '14

Dear all, The first MEG research group meeting after the break will be next Thursday (06-02), at 12.00 pm in B204 (Department of Psychology). Giovanna Mollo will talk about: 'Identifying objects at different levels of specificity: Effects on cortical dynamics in hub and spokes'. Hopefully see you all on Thursday. 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 today
by rem 29 Jan '14

29 Jan '14

Dear Users Today (4-5 pm in YNiC) Garreth Prendergast will be giving his "farewell seminar". Everyone is welcome to attend and refreshments will be available in YNiC after the talk. 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: Postdoc: Neuroimaging
by Gary Green 28 Jan '14

28 Jan '14

The Hospital of the University of Munich, Germany, is one of the largest and most competitive university hospitals in Germany and Europe. 45 specialized hospitals, departments and institutions harboring excellent research and education provide patient care at the highest medical level with approximately 10.000 employees. The Institute for Stroke and Dementia Research at the Ludwig Maximilian University of Munich offers: Postdoc: Neuroimaging (m/f) RESEARCH FOCUS and RESPONSIBILITIES: The postdoc will work on disease crossing mechanisms of neurodegeneration and cognitive decline using multimodal MRI data acquired through prospective longitudinal studies. Our protocols include repeat structural and functional MRI together with amyloid PET and detailed cognitive testing. The study is funded by the German Center for Neurodegenerative Diseases (DZNE) and embedded in an ambitious imaging program on disease crossing mechanisms. The postdoc will work in a highly dynamic neuroimaging team and is encouraged to bring in own research ideas. REQUIREMENTS: The candidate should hold a PhD, MD or equivalent degree in relevant disciplines (informatics, engineering, mathematics, neuroscience), should be familiar with state of the art structural and functional imaging techniques as documented by relevant publications. Solid knowledge of programming and statistics is a plus. An enthusiastic, independent work style will provide a good fit for our team. OFFER: We offer an excellent multidisciplinary environment with expertise in neuroimaging, neuropsychology, bioinformatics, epidemiology and state of the art multimodal neuroimaging equipment (3T MRI, high-density fMRI compatible EEG, molecular PET, IT infrastructure). The research team is embedded in the Munich Cluster for Systems Neurology, which is funded by the German Excellence Initiative. The research fellow will draw on a comprehensive database and technical support to facilitate efficient work conditions. He/she will work in a young and highly productive team at the Institute for Stroke and Dementia Research. The Ludwig Maximilian University of Munich (LMU) (http://www.en.uni-muenchen.de/index.html), Germany, and its hospitals figure among Germany’s premier and internationally competitive biomedical research sites and are funded by the government’s Excellence Initiative. Salary is according to TV-L. The position is limited for two years, with a possible extension. Disabled persons will be preferentially considered in case of equal qualification. Presentation costs can not be refunded. HOW TO APPLY: Your application - preferably in electronic form - with the usual documents indicating the earliest possible starting date should be directed to: Klinikum der Universität München, Institute for Stroke and Dementia Research Prof. Dr. Martin Dichgans Marchioninistr. 15 81377 Munich | Germany Send application by email to: Mrs. Lilo Thomas E-Mail: isd(a)med.uni-muenchen.de

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Fwd: Postdoctoral Research Post MEG Oxford
by Gary Green 28 Jan '14

28 Jan '14

Applications are invited for a Postdoctoral Research Assistant at the Oxford Centre for Human Brain Activity (OHBA), University of Oxford. This incorporates a lead role in carrying out and analysing magnetoencephalography (MEG) studies, and is funded for 2 years. For more details see: https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.jobs… <https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.jobs…>

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Fwd: Postdoctoral Research Position in Neuroimaging of Eating Disorders
by Gary Green 27 Jan '14

27 Jan '14

The Eating Disorder Section of the Department of Child and Adolescent Psychiatry, University Hospital Carl Gustav Carus, Dresden University of Technology, Germany (Prof. Stefan Ehrlich) invites applications for a postdoc position (full time) in neuroimaging of eating disorders with a focus on computational neuroscience and in close collaboration with the Collaborative Research Centre 940 "Volition and Cognitive Control: Mechanisms, Modulators, and Dysfunctions" http://www.sfb940.de/. Our international and multidisciplinary group conducts basic research in neuroscience at the inter-face to clinical applications. We focus on cognitive control, reward system and the processing of positive and negative emotions in patients with anorexia nervosa. Some of our projects are part of the aforementioned Collaborative Research Centre (CRC, Steering Committee: Profs. T. Goschke, C. Kirschbaum, M. Smolka, A. Strobel, H.-U. Wittchen). Postdoctoral Research Position (f/m) in Neuroimaging of Eating Disorders To further strengthen our lab, we are seeking for a postdoc with some experience in Computational Neuroscience, e.g. model-based analysis of behavioral and MRI data, decoding or machine learning. Responsibilities will also include the coordination of our ongoing clinical research study and the acquisition, preprocessing and analysis of a range of behavioral and magnetic resonance imaging (MRI) data. Together with a doctoral student new functional MRI paradigms need to be programmed and implemented. Imaging sessions will take place on the Neuroimaging Center's 3T Siemens TIM-Trio scanner. We routinely collect high-quality structural, diffusion, and functional MRI data. A variety of additional information is also being collected, including neuropsychological and psychiatric scales, physiological (SCR, eye tracking) and endocrinological markers. Summarizing results and writing research articles will be another central aspect of the work. The successful applicant will work in a team of young investigators and also start to supervise doctoral students, interns and medical students working in the project. Thanks to the CRC the applicant will have ample opportunity to work with peers and senior scientists in similar project in the Medical School and the Psychology Department. In addition, the position offers the possibility for further scientific qualification (i.e. Habilitation). Requirements: • Doctoral degree (Ph.D.) in any scientific field of study with a strong quantitative background, e.g. mathematics, informatics, statistics, computational neuroscience, biomedical or electrical engineering (with additional qualifications or experience in computational neuroscience a PhD, MD or comparable degree in a relevant field such as psychology, biology, biomedicine, medicine, biophysics or physics may also be sufficient). • Expertise in computational modeling of behavioral and/or imaging data (e.g., Bayesian inference methods and statistics, hidden Markov modeling, machine learning, reinforcement and temporal difference learning or connectivity analyses) • Experience in computer programming (Linux/Unix shell scripting, Python and/or MATLAB) • Some exposure to cognitive and emotional neurosciences • Participation in research activities within the past years • Publications in peer-reviewed journals • Strong organizational skills • Command of some basic German The successful applicant will join a multidisciplinary team of researchers and clinicians, will receive further training and train doctoral students (informally). The Salary will be consistent with levels in accordance with the German Research Foundation (100% TV-L: E 13). Compensation includes health insurance and vacation time. The position is available for a start date as soon as January 20th 2014 (to be confirmed). Review of applications will begin immediately and will continue until the position is filled. The position is guaranteed for two to three years with the possibility of renewal after positive evaluation. The funding has been granted for 5 years. To apply you can use our online portal (http://www.uniklinikum-dresden.de/bildung-und-karriere/stellenangebote/wiss…). The application should include a cover letter detailing professional objectives and interests, CV (with grades and language skills), and the names and email addresses of two references. The application can be written in German or English. The position is open to qualified international applicants. Please refer to our homepage: http://www.kjp-dresden.de/en/content/eating-disorders, http://tu-dresden.de/die_tu_dresden/fakultaeten/fakultaet_mathematik_und_na…, http://www.kjp-dresden.de/en/content/schizophreniaand http://www.kjp-dresden.de/de/basic-page/publikationsliste-prof-dr-s-ehrlich… more detailed information. ::::::::::::::::::::::::::::::::::::::::: Dipl.-Inf. Daniel Geisler Wissenschaftlicher Mitarbeiter Bereich Angewandte Entwicklungsneurowissenschaften Klinik und Poliklinik für Kinder- und Jugendpsychiatrie und -psychotherapie Fon +49 (0)351 458-7071 Fax +49 (0)351 458-7206 Universitätsklinikum Carl Gustav Carus an der Technischen Universität Dresden Anstalt des öffentlichen Rechts des Freistaates Sachsen Fetscherstraße 74 (Haus 25, Raum 232), 01307 Dresden http://www.uniklinikum-dresden.de <http://www.uniklinikum-dresden.de/> Vorstand: Prof. Dr. med. D. M. Albrecht (Sprecher), Wilfried E. B. Winzer Vorsitzender des Aufsichtsrates: Prof. Dr. med. Peter C. Scriba USt.-IDNr.: DE 140 135 217, St.-Nr.: 201 145 00020

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YNiC seminar (Wednesday 29th Jan)
by rem 27 Jan '14

27 Jan '14

Dear Users This *Wednesday* (29th January, 4-5 pm in YNiC) Garreth Prendergast will be giving his "farewell seminar". Everyone is welcome to attend and refreshments will be available in YNiC after the talk. 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:Data Manager, at the Wellcome Trust Centre for Neuroimaging (UCL)...
by Gary Green 24 Jan '14

24 Jan '14

Dear all, A Data Manager position is available in the Language group at the Wellcome Trust Centre for Neuroimaging, UCL, under the supervision of Professor Cathy Price. If you need more details, please see below or click on the following link: http://www.jobs.ac.uk/job/AIA093/data-manager/ Thank you, Mohamed Data Manager *Institute of Neurology* -Wellcome Trust Centre for Neuroimaging *Queen Square* Applications are invited for a Data Manager in the Language group at the Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, under the supervision of Professor Cathy Price. The overall aim of the group is to create a clinical tool that will predict language outcome and recovery after stroke [http://www.ucl.ac.uk/ploras], and involves the integration of four types of data: structural MRI, functional MRI, demographic information and behavioural (primarily language) assessments. The successful applicant will be responsible for overseeing data collection and its management. Initially, this will involve managing the completion of a bespoke relational database holding core participant and behavioural data. The post holder will also be responsible for advising on formats for initial data collection, organizing and maintaining data, extracting data for analysis and prediction purposes and supervising all those using the database. Applicants should have a BSc in Neuroscience or a related topic with a good understanding of statistics. Experience setting up and managing large complex datasets with multiple users is essential, as are excellent IT skills and exceptionally good oral and written communication skills in English. Experience with neuroimaging data is desirable. The post is funded by the Wellcome Trust, and is available immediately for one year in the first instance. *Starting salary on UCL Grade 6b in the range £32,699 - £39,523 pa including London Allowance.* You should apply for this post through UCL’s online recruitment, www.ucl.ac.uk/hr/jobs <http://www.ucl.ac.uk/hr/jobs>, where you can download a full job description and person specification using *ref: 1394958*. For queries relating to the application process, please contact Samantha Robinson, Personnel Officer, UCL Institute of Neurology, 23 Queen Square, London WC1N 3BG (email: ion.hradmin(a)ucl.ac.uk <mailto:ion.hradmin@ucl.ac.uk> ) Informal enquiries welcome to Professor Cathy Price (email: c.j.price(a)ucl.ac.uk <mailto:c.j.price@ucl.ac.uk>).** *Closing date: 16 February 2014* /UCL Taking Action for Equality /

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Fwd: PRNI second call for papers
by Gary Green 24 Jan '14

24 Jan '14

might be of interest for some of you --------------- Gary Green SECOND CALL FOR PAPERS ** apologies for cross posting ** 4th International Workshop on Pattern Recognition in NeuroImaging (PRNI 2014) June 4-6 2014, Max Planck Institute for Intelligent Systems, Tübingen, Germany Website: http://www.prni.org Multivariate analysis of neuroimaging data has gained ground very rapidly in the community over the past few years, leading to impressive results in cognitive and clinical neuroscience. Pattern recognition and machine learning conferences regularly feature a neuroimaging workshop, while neuroscientific meetings dedicate sessions to new approaches to neural data analysis. Thus, a rich two-way flow has been established between disciplines. It is the goal of the 4th International Workshop on Pattern Recognition in NeuroImaging to continue facilitating exchange of ideas between scientific communities, with a particular interest in new approaches to the interpretation of neural data driven by new developments in pattern recognition and machine learning. IMPORTANT DATES Paper submission deadline: 7th of March, 2014 **submission website is now open** Acceptance notification: 4th of April, 2014 Workshop: June 4-6, 2014 TOPICS OF INTEREST PRNI welcomes original papers on multivariate analysis of neuroimaging data, using invasive and non-invasive imaging modalities, including but not limited to the following topics: * Learning from neuroimaging data - Classification algorithms for brain-state decoding - Optimisation and regularisation - Bayesian analysis of neuroimaging data - Connectivity and causal inference - Combination of different data modalities - Efficient algorithms for large-scale data analysis * Interpretability of models and results - High-dimensional data visualisation - Multivariate and multiple hypothesis testing - Summarisation/presentation of inference results * Applications - Disease diagnosis and prognosis - Real-time decoding of brain states - Analysis of resting-state and task-based data KEYNOTE SPEAKERS John-Dylan Haynes Klaus-Robert Müller Russ Poldrack SUBMISSION GUIDELINES Authors should prepare full papers with a maximum length of 4 pages (double-column, IEEE style, PDF) for review. Reviews will be double-blind, i.e. submissions have to be anonymized. PROCEEDINGS Proceedings will be published by Conference Publishing Services in electronic format. They will be submitted for inclusion in IEEExplore and IEEE CS Digital Library online repositories, and submitted for indexing in IET INSPEC, EI Compendex (Elsevier), Thomson ISI, and others. BEST STUDENT PAPER AWARD A small number of papers will be selected for the Best Student Paper Award. To be eligible the paper’s first author must be a student,and the student must agree to present the paper at the workshop. Awardees will receive a travel allowance. VENUE The workshop will be held on the campus of the Max Planck Institute in Tübingen, Germany. Tübingen is a picturesque medieval university town, and can easily be reached by public transportation from Stuttgart airport (STR). Accommodation is available on or close to campus. A pre-conference barbecue will be held on June 3, 2014. ORGANIZATION General Chair: Moritz Grosse-Wentrup (MPI for Intelligent Systems, Tübingen, Germany) Program Chairs: Marcel van Gerven (Donders Institute for Brain, Cognition and Behaviour, Netherlands) & Nikolaos Koutsouleris (LMU Munich, Germany) Steering committee: Jonas Richiardi, Dimitri Van De Ville, Seong-Whan Lee, Yuki Kamitani, Janaina Mourao- Miranda, Christos Davatsikos, Gaël Varoquaux ENDORSEMENTS PRNI 2014 is an official satellite meeting of the Organization for Human Brain Mapping and an endorsed event of the Medical Image Computing and Computer Assisted Intervention Society. -- Dr.-Ing. Moritz Grosse-Wentrup Group leader (W2) Max Planck Institute for Intelligent Systems Dept. Schölkopf Spemannstraße 38 72076 Tübingen Telephone: +49-7071-601-547 moritzgw(a)tuebingen.mpg.de http://brain-computer-interfaces.net

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Fwd:PhD student position in Medical Image Analysis - Linköping University
by Gary Green 23 Jan '14

23 Jan '14

The Department of Biomedical Engineering (IMT), in collaboration with The Center for Medical Image Science and Visualization (CMIV) at Linköping University (Sweden) are offering a fully funded PhD student position in medical image analysis. *** Research Environment IMT and CMIV at Linköping University (Sweden) have a long tradition in the development of image analysis tools for medical images and their validation through clinical studies. IMT and CMIV are renowned for their state-of-the-art methods for CT image reconstruction, multidimensional image filtering, multimodal registration, and advanced scientific visualization of medical images. CMIV has its own premises with state-of-the-art medical imaging and visualization equipment at Linköping University Hospital. http://www.liu.se/cmiv?l=en&sc=true <http://www.liu.se/cmiv?l=en&sc=true,> http://www.imt.liu.se/en/ *** Project The PhD student will develop new tensorial techniques that can be applied to analysis of images acquired through different Magnetic Resonance and Computed Tomography imaging protocols with applications to the human circulatory, skeletal and nervous systems. *** Profile Applicants must hold a higher education degree at Master’s level, or having completed course requirements of at least 240 ECTS credits, including a minimum of 60 ECTS credits at Master’s level, or having acquired the equivalent skills and knowledge, abroad or domestically. A strong background in mathematics is required for this position. Highly motivated individuals with degrees in mathematics, physics, computer science or engineering are especially encouraged to apply. *** Position The funds will cover the salary of the PhD student for 4 years. The starting salary will be based on locally agreed salary scales. *** More information and application More information and the application procedure can be found in the following link: http://www.liu.se/en/job/show.html?5402 Applications must be submitted no later than the 28th of February 2014. For more information, please contact Rodrigo Moreno rodrigo.moreno(a)liu.se (+46-(0)10-10 38986) ----------------------------------------- Rodrigo Moreno, Ph.D. Lecturer (Assistant Professor) at CMIV / IMH Linköping University, Campus US, CMIV SE-581 85, Linköping, Sweden Tel.: +46-(0)10-10 38986 E-mail: rodrigo.moreno(a)liu.se Web: http://www.imh.liu.se/radiologiska-vetenskaper/medarbetarna/rodrigo-moreno?…

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Fwd:20 positions for PhD students and postdocs at Giessen and Marburg
by Gary Green 23 Jan '14

23 Jan '14

Dear colleagues, I am forwarding the following information about open job opportunities in Giessen and Marburg on behalf of Karl Gegenfurtner. The P.I.s on projects that involve fMRI are marked by an X in the list. Best wishes, Bianca -- The German Research Council (DFG) has established a Collaborative Research Center (SFB/TRR 135) at the universities of Giessen and Marburg. The scientific goal is to investigate the cardinal mechanisms that underlie perception: prediction, valuation and categorization. Scientists within the research center come from different disciplines ranging from experimental psychology and human movement science to neurophysics and psycholinguistics. We use a vast range of methods including psychophysics, neuroimaging and single unit electrophysiology. The positions are available starting on April 1, 2014 or soon thereafter, and can potentially be held until the end of 2017. If you are interested in a PhD studentship or a PostDoc position, you should contact one of the principal investigators of the grant directly: Jutta Billino (Giessen, Experimental Psychology, Aging) X Ina Bornkessel-Schlesewsky (Marburg, Experimental Linguistics, Embodiment) Doris Braun (Giessen, Experimental Psychology, Eye movements) X Frank Bremmer (Marburg, Neurophysics, Oculomotor Physiology, Self Motion) Knut Drewing (Giessen, Experimental Psychology, Active Touch) X Wolfgang Einhäuser-Treyer (Marburg, Neurophysics, Ocuolomotor salience) X Katja Fiehler (Giessen, Experimental Psychology, Hand and Eye Movements) X Karl Gegenfurtner (Giessen, Experimental Psychology, Color Vision, Eye Movements) X Mathias Hegele (Giessen, Human Movement Science, Animacy) Bianca Jovanovic (Giessen, Developmental Psychology, Infant Motor Experience) Christina Kauschke (Marburg, Clinical and Developmental Linguistics, Emotion Words) X Tilo Kircher (Marburg, Psychiatry, Inter-modal Perception) Harald Lachnit (Marburg, Experimental Psychology, Associative Learning) Anna Schubö (Marburg, Cognitive Psychophysiology, Attention, Visual Selection) Alexander Schütz (Giessen, Experimental Psychology, Eye Movements and Value) Gudrun Schwarzer (Giessen, Developmental Psychology, Child Face Perception) X Benjamin Straube (Marburg, Psychiatry, Perception of One's Own Actions) X Bianca Wittmann (Giessen, Biological Psychology, Motivational salience) A list of all projects, including links to the P.I.'s web pages can be found at http://www.allpsych.uni-giessen.de/sfb Applicants should have a strong academic training, including a Master's degree in a relevant discipline. Please send a CV and a brief cover letter explaining why you are interested in applying for a position either directly to one of the P.I.s listed above, or to the grant coordinator Karl Gegenfurtner (gegenfurtner(a)uni-giessen.de). Applications should be received by February 14, 2014, but we will consider late applications until all the positions are filled. Karl Gegenfurtner -- Prof. Karl Gegenfurtner, Abteilung Allgemeine Psychologie Justus-Liebig-Universität, Otto-Behaghel-Str. 10, 35394 Giessen phone: +49 641 9926100 mailto:gegenfurtner@uni-giessen.de fax: +49 641 9926119 http://www.allpsych.uni-giessen.de/karl

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YNiC seminar today
by rem 23 Jan '14

23 Jan '14

Dear Users This afternoon (4.15 pm in YNiC open plan) there will be talks on 1) "Update on Participant Consent at YNiC" given by Mark Hymers 2) "Feedback from the MEG UK meeting" given by Gary Green. 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

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Garreth Prendergast's farewell seminar 29th January
by rem 22 Jan '14

22 Jan '14

Dear Users As some of you may already know, Garreth Prendergast is leaving YNiC at the end of this month to become a post-doc at the University of Manchester. Please put *Wednesday 29th January 4-5 pm* in your diaries if you would like to be part of the organised farewell to Garreth. Garreth will be giving his "farewell seminar" on 29th January from 4-5 pm in YNiC. After the seminar we will be taking Garreth out for drinks and dinner to thank him for all his contributions to the department. Please let me know if you would like to join us for dinner. 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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YNiC seminar 23rd January
by rem 22 Jan '14

22 Jan '14

Dear Users This Thursday (4.15 pm in YNiC open plan) there will be 1) a talk on "Update on Participant Consent at YNiC" given by Mark Hymers and 2) a talk on "Feedback from the MEG UK meeting" given by Gary Green. 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

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Fwd: Two PhD positions at Gothenburg University, Sweden
by Gary Green 20 Jan '14

20 Jan '14

We are pleased to announce two PhD studentships in medical imaging: Experimental neuroimaging with Focal MEG Type of employment: Fixed-term employment, 4 years if full-time studies Extent: 100 % Location: Sahlgrenska Academy, Göteborg First day of employment: As agreed Reference number: UR 2014/16 http://www.gu.se/english/about_the_university/announcements-in-the-job-appl… This project targets stress-induced heart disease (SIHD) with an experimental neuroimaging technique: Focal MEG. The PhD student will be involved in the planning and execution of medical research studies that explore the neurophysiological signaling pathways responsible for the spectrum of responses to arousal we have observed in the general population. These arousal responses are rapid—occuring in less than a heartbeat—and strongly correlated with long-term trends in blood pressure and heart disease. State-of-the-art MEG—like the recently installed NatMEG system to which the student will have access—adds the time-dimension to neuroimaging, allowing one to see where, when, and how long brain activity occurs. Our experimental Focal MEG system improves the sensitivity of MEG; this project will help develop and validate this beyond state-of-the-art neurimaging system. Participants in the studies will be recruited from ongo ing studies that are presently led by the supervisory team at the SUH Department of Clinical Neurophysiology. By combining next-gen neuroimaging with groups of subjects that have been well characterized in ongoing studies, we hope to identify a biomarker for SIHD. The PhD student will thus have access to a unique research infrastructure (NatMEG, Focal MEG, as well as standard fMRI, EEG, ECG, etc.) and be supervised by leading clinical and experimental researchers. Not only will the finished PhD be well educated, but he/she will have a solid foundation for a career in testing clinical issues in experimental environments. When this project is completed, we hope to have identified clinically relevant and non-invasive markers that lead to a better understanding of the underlying physiological mechanisms for SIHD. /This PhD position is funded via doctoral grant during the first year and doctoral studentship during the last three years, and leads to a doctoral degree./ Automatic lesion detection in brain images Type of employment: Fixed-term employment, 4 years if full-time studies Extent: 100 % Location: Sahlgrenska Academy, Göteborg First day of employment: As agreed Reference number: UR 2014/17 http://www.gu.se/english/about_the_university/announcements-in-the-job-appl… A well-established and validated approach to anatomical image segmentation is to use image registration to propagate anatomical labels from multiple atlases to a target (patient) image. We have developed MAPER, a tool that implements this approach for the segmentation of structural magnetic resonance images of the brain. MAPER is currently the most accurate and robust method for segmenting the whole of the human brain into its constituent structures. We have shown its usefulness in particular for measuring markers of neurodegeneration, for example in Alzheimer's disease. The drawback of atlas-based segmentation methods is that some injuries or disease processes lead to the appearance of focal brain lesions (edema, bleeding, tumours, etc.). These are not normally represented in the atlases, and are therefore frequently mislabelled. Addressing this problem will potentially lead to novel applications of automatic image analysis: decision support in the management of stroke, quantitative monitoring of recovery after head injury or brain surgery, objective evaluation of the changes caused by brain tumours and brain cancer treatment, measurement of disease progression in multiple sclerosis, seizure focus identification in epilepsy, and many others. The goal of this project is to develop the capability of automatically detecting and measuring lesions and to validate it on real-world imaging data that we will access through collaborations with clinical experts in the relevant diseases. /This PhD position is funded via doctoral grant during the first year and doctoral studentship during the last three years, and leads to a doctoral degree. -- / Rolf A Heckemann, MD PhD Professor of Medical Imaging and Image Analysis MedTech West <http://www.medtechwest.se> at Sahlgrenska University Hospital University of Gothenburg Sweden

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YNiC seminar today
by rem 16 Jan '14

16 Jan '14

Dear Users This afternoon (4.15 pm in YNiC open plan) there will be a project proposal presentation given by Charlotte Murphy. The title of Charlotte's talk is "Flexible Retrieval and Representation of Amodal Concepts". 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

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Open Plan
by Mark Hymers 15 Jan '14

15 Jan '14

Hi, For all of this term, YNiC open plan will be very busy on Thursdays, especially between 11-1 and 2-4. This is because of MSc Cognitive Neuroscience teaching. Non-MSc students can use open plan but will need to be aware that teaching is taking place and please use the machines at the back of the room. MSc students will be given priority on computers. Please make sure that you do not leave yourself logged into machines in open plan as we will forcibly log out users as necessary at the start of the teaching session. Apologies for the late sending of this email. 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

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YNiC Science Committee. Monday 20th January, 2pm. B204.
by Michael Simpson 13 Jan '14

13 Jan '14

Dear YNiC users, All YNiC users are invited to attend the next meeting of the YNiC Science Committee, next Monday at 2pm in B204. The committee exists to facilitate scientific work at YNiC by bringing YNiC staff and users together to discuss support issues. Users who would like to raise a particular issue for consideration at this meeting should contact the Chair (Beth Jefferies <beth.jefferies(a)york.ac.uk>) or Secretary (Michael Simpson <michael.simpson(a)ynic.york.ac.uk>) *in advance*, so that the issue can be added to the agenda. With best wishes Beth and Michael -- Dr Michael Simpson Science Liaison Officer York Neuroimaging Centre Innovation Way York YO10 5DG Tel: 01904 567614 Web: http://www.ynic.york.ac.uk

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YNiC seminar 16th January
by rem 13 Jan '14

13 Jan '14

Dear Users This Thursday (4.15 pm in YNiC open plan) there will be a project proposal presentation given by Charlotte Murphy. The title of Charlotte's talk is "Flexible Retrieval and Representation of Amodal Concepts". 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

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Fwd:Postdoctoral Research Position in Neuroimaging of Eating Disorders
by Gary Green 10 Jan '14

10 Jan '14

The Eating Disorder Section of the Department of Child and Adolescent Psychiatry, University Hospital Carl Gustav Carus, Dresden University of Technology, Germany (Prof. Stefan Ehrlich) invites applications for a postdoc position (full time) in neuroimaging of eating disorders with a focus on computational neuroscience and in close collaboration with the Collaborative Research Centre 940 "Volition and Cognitive Control: Mechanisms, Modulators, and Dysfunctions" http://www.sfb940.de/. Our international and multidisciplinary group conducts basic research in neuroscience at the inter-face to clinical applications. We focus on cognitive control, reward system and the processing of positive and negative emotions in patients with anorexia nervosa. Some of our projects are part of the aforementioned Collaborative Research Centre (CRC, Steering Committee: Profs. T. Goschke, C. Kirschbaum, M. Smolka, A. Strobel, H.-U. Wittchen). Postdoctoral Research Position (f/m) in Neuroimaging of Eating Disorders To further strengthen our lab, we are seeking for a postdoc with some experience in Computational Neuroscience, e.g. model-based analysis of behavioral and MRI data, decoding or machine learning. Responsibilities will also include the coordination of our ongoing clinical research study and the acquisition, preprocessing and analysis of a range of behavioral and magnetic resonance imaging (MRI) data. Together with a doctoral student new functional MRI paradigms need to be programmed and implemented. Imaging sessions will take place on the Neuroimaging Center's 3T Siemens TIM-Trio scanner. We routinely collect high-quality structural, diffusion, and functional MRI data. A variety of additional information is also being collected, including neuropsychological and psychiatric scales, physiological (SCR, eye tracking) and endocrinological markers. Summarizing results and writing research articles will be another central aspect of the work. The successful applicant will work in a team of young investigators and also start to supervise doctoral students, interns and medical students working in the project. Thanks to the CRC the applicant will have ample opportunity to work with peers and senior scientists in similar project in the Medical School and the Psychology Department. In addition, the position offers the possibility for further scientific qualification (i.e. Habilitation). Requirements: . Doctoral degree (Ph.D.) in any scientific field of study with a strong quantitative background, e.g. mathematics, informatics, statistics, computational neuroscience, biomedical or electrical engineering (with additional qualifications or experience in computational neuroscience a PhD, MD or comparable degree in a relevant field such as psychology, biology, biomedicine, medicine, biophysics or physics may also be sufficient). . Expertise in computational modeling of behavioral and/or imaging data (e.g., Bayesian inference methods and statistics, hidden Markov modeling, machine learning, reinforcement and temporal difference learning or connectivity analyses) . Experience in computer programming (Linux/Unix shell scripting, Python and/or MATLAB) . Some exposure to cognitive and emotional neurosciences . Participation in research activities within the past years . Publications in peer-reviewed journals . Strong organizational skills . Command of some basic German The successful applicant will join a multidisciplinary team of researchers and clinicians, will receive further training and train doctoral students (informally). The Salary will be consistent with levels in accordance with the German Research Foundation (100% TV-L: E 13). Compensation includes health insurance and vacation time. The position is available for a start date as soon as January 20th 2014 (to be confirmed). Review of applications will begin immediately and will continue until the position is filled. The position is guaranteed for two to three years with the possibility of renewal after positive evaluation. The funding has been granted for 5 years. To apply you can use our online portal (http://www.uniklinikum-dresden.de/bildung-und-karriere/stellenangebote/wiss… ). The application should include a cover letter detailing professional objectives and interests, CV (with grades and language skills), and the names and email addresses of two references. The application can be written in German or English. The position is open to qualified international applicants. Please refer to our homepage: http://www.kjp-dresden.de/en/content/eating-disorders , http://tu-dresden.de/die_tu_dresden/fakultaeten/fakultaet_mathematik_und_na…, http://www.kjp-dresden.de/en/content/schizophrenia and http://www.kjp-dresden.de/de/basic-page/publikationsliste-prof-dr-s-ehrlich for more detailed information. ::::::::::::::::::::::::::::::::::::::::: Dipl.-Inf. Daniel Geisler Wissenschaftlicher Mitarbeiter Bereich Angewandte Entwicklungsneurowissenschaften Klinik und Poliklinik für Kinder- und Jugendpsychiatrie und -psychotherapie Fon +49 (0)351 458-7071 Fax +49 (0)351 458-7206 Universitätsklinikum Carl Gustav Carus an der Technischen Universität Dresden Anstalt des öffentlichen Rechts des Freistaates Sachsen Fetscherstraße 74 (Haus 25, Raum 233A), 01307 Dresden http://www.uniklinikum-dresden.de Vorstand: Prof. Dr. med. D. M. Albrecht (Sprecher), Wilfried E. B. Winzer Vorsitzender des Aufsichtsrates: Prof. Dr. med. Peter C. Scriba USt.-IDNr.: DE 140 135 217, St.-Nr.: 201 145 00020

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Fwd:Postdoc position in comparative/computational emotion neuroscience at University of Zurich, starting 2014
by Gary Green 10 Jan '14

10 Jan '14

Applications are invited for a post-doctoral position to work on the neurobiology of anxiety and fear. The Comparative Emotion Neuroscience Group (www.bachlab.org) currently hosts 1 PostDoc, 3 PhD students, and several support staff, and is looking for a second post-doctoral fellow. The group’s aim is to develop formal models of animal and human defensive emotions (panic, fear, anxiety), characterise their neuroanatomy and the underlying neural computations using neuroimaging techniques (fMRI, M/EEG) in humans, and apply this knowledge to psychiatric syndromes involving pathological emotions. The laboratory offers a friendly and collaborative research environment, a research-dedicated 3T MRI scanner, a fully equipped psychological/psychophysiological testing facility, access to EEG, and collaboration with MEG and 7T MRI facilities. The position is funded for 3 years and paid according to work experience, usually in grade 18. The lab, behavioural testing facilities, EEG, and 3T scanner are located in the Department of Psychiatry, University of Zurich, Switzerland. The successfull applicant will have either (a) an undergraduate degree in physics/engineering/mathematics/computer science, and a PhD in cognitive neuroscience, or (b) an undergraduate degree in biology/psychology/neuroscience, and a PhD in neuroscience with a computational or technological focus. The candidate will be experienced in human experimentation, in particular fMRI or M/EEG. Fluent English is mandatory, German is not. We are looking for a highly motivated individal with interest in neurobiology who develops independent research ideas within the group’s framework. Starting date is 2014. Applications are accepted until the position is filled. Applicants should send, in one merged PDF, a CV, publication list, letter of intent with a statement of research interest, and the name and contact of two references to: jobs(a)bachlab.org

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Fwd: [SPM] PhD position - computational modelling
by Gary Green 10 Jan '14

10 Jan '14

Dear colleagues, The *Collaborative Research Center *(CRC) 1052 "Obesity mechanisms" at the Leipzig University Hospital is offering a *PhD studentship in computational modelling* under the supervision of Dr Jane Neumann and Dr Annette Horstmann. Within the project, computational modelling will be used to investigate decision-making and learning in humans by combining genetic, behavioural and magnetic resonance imaging (MRI) data from different modalities. The PhD position will be based at the *Max Planck Institute for Human Cognitive and Brain Sciences* in the beautiful city of *Leipzig*. Both Leipzig‘s long tradition in conducting neuroscientific research and the ultra-modern equipment at the 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 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). 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: [JOB] Postdoctoral Positions on Infant Brain Segmentation, Registration and Atlas Construction
by Gary Green 10 Jan '14

10 Jan '14

Several postdoctoral positions are available in IDEA lab (https://www.med.unc.edu/bric/ideagroup), UNC-Chapel Hill, NC. Segmentation: The successful candidate should have a strong background on Electrical or Biomedical Engineering, or Computer Science, preferably with emphasis on image feature learning and segmentation. Experience on medical image segmentation using deformable surface, level sets, and graph cut is highly desirable. People with machine learning background on image features and shape statistics are particularly encouraged to apply. Strong knowledge on programming (good command of LINUX, C and C++, scripting, and Matlab) is desirable. The research topic will be the development and validation of segmentation methods for infant brain segmentation and surface reconstruction. Registration: The successful candidate should have a strong background on Electrical or Biomedical Engineering, or Computer Science, preferably with emphasis on feature learning and correspondence detection. Experience on medical image registration is highly desirable. People with experience on pairwise, group-wise and/or 4D registration are particularly encouraged to apply. Knowledge on brain development and also strong background on programming (good command of LINUX, C and C++, scripting, and Matlab) are desirable. The research topic will be the development and validation of 3D, 4D, and group-wise image registration methods for early brain development study. Atlas Construction: Candidates with experience on patch-based sparse representation are encouraged to apply. The research topic will be the development of atlas construction methods for infant brain images. The successful candidates will be part of a diverse group including radiologists, psychologists, physicists, biostatistician, and computer scientists, and will build upon the group's previous work on medical image analysis. If interested, please email resume to Dr. Dinggang Shen (dgshen(a)med.unc.edu <mailto:dgshen@med.unc.edu>).

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Fwd: [JOB] Postdoctoral Position on Machine Learning
by Gary Green 10 Jan '14

10 Jan '14

A postdoctoral position on machine learning with application to neuroimage-based brain disease diagnosis and prediction is available in UNC-Chapel Hill. The successful candidate should have a strong background on Electronic Engineering, Biomedical Engineering, Statistics, or Computer Science, preferably with emphasis on machine learning, pattern classification, regression methods, or sparse representation. People with strong experience on machine learning are particularly encouraged to apply. The successful candidate will be part of a diverse group including radiologists, psychologists, physicists, biostatistician, and computer scientists, and will build upon the group's previous work on medical image analysis. The research topic will be the development and validation of novel machine learning methods for early diagnosis and prediction of brain disorders. Please visit group website (http://bric.unc.edu/ideagroup) for more information. If interested, please email resume to Dr. Dinggang Shen (dgshen(a)med.unc.edu <mailto:dgshen@med.unc.edu>).

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Fwd: Research Assistant Position Available at Stanford University
by Gary Green 10 Jan '14

10 Jan '14

Stanford University invites applications for the position of Cognitive Neuroscience Research Assistant in the Cognitive & Systems Neuroscience Lab (cosyne.stanford.edu). This is an exciting opportunity to work on brain imaging studies of cognitive function and dysfunction, cognitive development and learning disabilities. The successful candidate will participate in all aspects of research in the lab, including: acquisition and analysis of functional and structural brain imaging data, assembling and administering neuropsychological assessments, screening and recruiting participants, obtaining informed consent, scheduling participants for testing, tracking progress of the study and behavioral data, verifying data and entering pertinent information into database for statistical analysis, conducting statistical analyses, and assisting with manuscript preparation. A minimum commitment of two years is required. This is a full-time position with competitive benefits. There are 2 positions open with start dates in Summer 2014. Please email a CV and statement of research interests and career goals in PDF format titled LastName_CV.pdf and LastName_StatementGoals.pdf to Emma Adair at hiring.stanford.cosyne(a)gmail.com. Application deadline is March 15; competitive candidates will be contacted for interviews starting mid-February. Qualifications: Requires a BS/BA degree in psychology, human biology, neuroscience, biomedical engineering or related fields as well as one to two years of research experience. A strong academic record is essential. Past research experience in cognitive neuroscience is highly desirable. Experience with any of the following would be an added advantage: brain imaging data acquisition, MRI data analysis, neuropsychological assessments, computer programming, MATLAB, signal processing, and statistical analysis. The candidate must have strong organizational and interpersonal skills; the ability to work well with children; a willingness to tackle complex tasks in an independent manner; and a strong work ethic.

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Fwd: PhD position - computational modelling
by Gary Green 10 Jan '14

10 Jan '14

Dear colleagues, The *Collaborative Research Center *(CRC) 1052 "Obesity mechanisms" at the Leipzig University Hospital is offering a *PhD studentship in computational modelling* under the supervision of Dr Jane Neumann and Dr Annette Horstmann. Within the project, computational modelling will be used to investigate decision-making and learning in humans by combining genetic, behavioural and magnetic resonance imaging (MRI) data from different modalities. The PhD position will be based at the *Max Planck Institute for Human Cognitive and Brain Sciences* in the beautiful city of *Leipzig*. Both Leipzig‘s long tradition in conducting neuroscientific research and the ultra-modern equipment at the 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 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). 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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