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13 Feb '14

Dear Users Please note that the "YNiC seminar" this afternoon will take place over 3 hours (2-5 pm) in B020 in the Department of Psychology. The MSc CN students will be giving project proposal presentations for their empirical research projects. Please see below for a list of times, speakers, supervisors and talk titles. Everyone is welcome to attend. Best wishes Rebecca Time Students Supervisor Title 2.00 David Coggan, Wanling Liu Andrews Can low-level image properties predict category-selective responses in higher-level visual areas? 2.10 Phoebe Asquith, Eddy Rhodes, Amy Turner Barraclough Investigation connectivity within the human mirror neuron system using dual TMS 2.20 Shanelle Canavan, Ellie Cole, Lucy Spencer, Vera Wang Baseler Neural correlates of peripheral visual sensitivity in hearing and deaf adults 2.30 Lauren Debney Evans Global processing in medical images 2.40 Jennifer Ashton Gaskell Reactivating emotional memories during sleep 2.50 Zihao Chen, Zach Cotter, Rachael Hulme, Ellie Suffill Gennari Time in Language 3.00 Binglei Zhao Goebel Arithmetic networks in adults with dyslexia 3.10 Lysia Demetriou, Theodore Karapanagiotidis, Ashley Symons Green Learning and extinction with positive and negative outcomes 3.30 Geoff Gallagher, Meng Yang Hartley/ Baker Neural correlates of the tilt-shift illusion 3.40 Hannah Biddles, Rachel Garcia, Eftychia Giannakopoulou, Mrinmayi Kulkarni Hymers/ Millman Name that tune: the functional organization of music recognition 3.50 Phil Dwerryhouse, Jonathan Robinson, Junior Whiteley Johnston Exploring MEG/EEG violations of expectancy violation 4.00 Rachel Woodall Morland Longitudinal measures of brain function and structure of patients with Macular Degeneration 4.10 Holly Brown, Emily Shoesmith, Jonathan Kennedy, Wai Hong Liu, Morland The role of lateral occipital visual field maps in viewpoint perception 4.20 Josie Hogg, Milena Kaestner Wade Assessing the intrinsic dimensionality of visual cortex using multidimensional scaling 4.30 Debs Vallejo Lopez Wade Measuring the effect of environmental contrast on visual gain control 4.40 Irene De Caso, Borong Yan Young Decoding facial expression and gaze direction from fMRI -- ************************************************************************ 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 -- ************************************************************************ 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: Neuroimaging Timeseries Data Analyst / Engineer Position - Univ. of California, Irvine
by Gary Green 13 Feb '14

13 Feb '14

We have the following position available at UC Irvine that may be of interest to you. Job Description: Work with the faculty member, other members of the laboratory, including numerous engineers and physicists, and researchers from different laboratories in using UNIX-based software packages, C Shell scripts, digital signal processing tools, graph theory, and high degree correlational algorithms to analyze time series data of various types, including brain imaging and electrophysiological signals. Assist the scientists and trainees in analyzing data from applied projects in neuroscience. Design and implementation of new analysis protocols and software modules for digital times series analysis related to physiological signals and related data analysis. Perform software testing, maintenance and modification, and coding related to digital time series analysis. Salary: Annual $41,258.88-$46,458.00 Career Position If you are interested please contact me for more information: Thanks, Dave David Keator University of California, Irvine dbkeator(a)uci.edu ------------------------------------------------------------------------ This message contains confidential information and is intended only for the individual named. If you are not the named addressee you should not disseminate, distribute or copy this e-mail. Please notify the sender immediately by e-mail if you have received this e-mail by mistake and delete this e-mail from your system. E-mail transmission cannot be guaranteed to be secure or error-free as information could be intercepted, corrupted, lost, destroyed, arrive late or incomplete, or contain viruses. The sender therefore does not accept liability for any errors or omissions in the contents of this message, which arise as a result of e-mail transmission.

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Fwd: Programmer position for brain imaging machine-learning Python library
by Gary Green 12 Feb '14

12 Feb '14

Hi, We are looking for a programmer to join our research group, Parietal team (http://http://team.inria.fr/parietal/), at INRIA, to work on nilearn (http://nilearn.github.io) a library applying advanced machine learning and signal processing to functional brain imaging. As a programmer, you will be taking part to the NiConnect research project (http://parietal.saclay.inria.fr/research/spatial_patterns/niconnect), developing tools for the analysis of "functional connectomes": brain connectivity infered using functional MRI. The project unites neuroscientists, data-miners, statisticians and clinical researchers to transfer recent advances in basic neuroscience to clinical diagnostic tools. Your duties will be to work hand in hand with the computer science and statistics researchers to turn the research code into a solid and well documented Python library usable by clinical researchers. The core technologies used will rely on the scientific Python stack (http://scipy.org) and scikit-learn (http://scikit-learn.org) machine learning library. Requirements ============= * Good programming skills in Python, preferably with experience of the scientific Python stack * Understanding of quality assurance in software development: test-driven programming, version control, technical documentation. * Software design skills * Some knowledge of Linux/Unix * Knowledge of open-source development and community-driven environments is valued * Good technical English level * An experience in statistical learning or a mathematical-oriented mindset is a plus Speaking French is not a requirement, as it is an international team. About the team =================== INRIA (http://www.inria.fr) is the French computer science research institute. It recognized word-wide as one of the leading research institutions and has a strong expertise in machine learning. You will be working in the Parietal team (http://http://team.inria.fr/parietal/) that makes a heavy use of Python for brain imaging analysis. Parietal is a small research team (around 20 people) with an excellent technical knowledge of scientific and numerical computing in Python as well as a fine understanding of algorithmic issues in machine learning, statistics and image processing. Parietal is committed to investing in the scientific Python toolstack and its members are core developers in central projects such as Mayavi (http://docs.enthought.com/mayavi/mayavi/) and scikit-learn (http://scikit-learn.org), as well as the nipy (http://nipy.org) library for NeuroImaging in Python and the nilearn (http://nilearn.github.io) library for machine learning applied to NeuroImaging. Parietal is located in the Neurospin brain research facility (http://www-dsv.cea.fr/en/instituts/institut-d-imagerie-biomedicale-i2bm/ser…), that hosts several brain scanners and research teams in neuroscience and medical imaging. Working at Parietal is a unique opportunity to improve your skills in numerical computing and statistical data processing in Python. In addition, working on an open source stack, will give you premium experience of open source community management and collaborative project development. Practical Info =============== * Technical Contact: Gael Varoquaux * E-mail contact: gael.varoquaux(a)inria.fr * HR Contact: Marie Domingues * E-mail Contact: marie.domingues(a)inria.fr * No telecommuting. We need people that can very easily relocate for Paris, as the time scales for this job are somewhat short. * Fixed-term contract. Duration depending on the salary. * Salary depending on experience * Experience required: either some professional experience as a programmer, or extensive open source contributions Links ===== On-line job offer: https://team.inria.fr/parietal/hiring-a-programmer-for-a-brain-imaging-mach… Motivational note: http://gael-varoquaux.info/blog/?p=171 Cheers, Gaël -- Gael Varoquaux Researcher, INRIA Parietal Laboratoire de Neuro-Imagerie Assistee par Ordinateur NeuroSpin/CEA Saclay , Bat 145, 91191 Gif-sur-Yvette France Phone: ++ 33-1-69-08-79-68 http://gael-varoquaux.info http://twitter.com/GaelVaroquaux

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Fwd:Postdoc position, University of Cambridge
by Gary Green 12 Feb '14

12 Feb '14

*Postdoctoral Researcher (Cam-CAN)* *University of Cambridge, Department of Psychology* *Vacancy Ref: PJ02734* ** *Salary: £28,132 - £36,661 pa* Applications are invited for a post-doctoral scientist to join the Cambridge Centre for Ageing and Neuroscience (Cam-CAN, www.cam-can.com). This centre brings together a large group of researchers across the University of Cambridge and at the MRC Cognition and Brain Sciences Unit (MRC-CBSU) who aim to relate brain changes to cognitive changes over the adult lifespan (covering ages 18-88). The appointee will work with a unique population-representative sample of 700 adults on whom we have collected extensive cognitive and neural measures. A subset of these individuals will be run in a further set of fMRI and MEG studies designed to probe major cognitive functions. The Cam-CAN project will integrate across these data-sets using a variety of methods, relating changes in neural structure and function over the lifespan to changes in cognitive function and capacity. The role of the postholder will be to undertake analyses of the 700 participants’ dataset, carry through the second stage fMRI and MEG studies, and play a key role in integrating across cognitive and imaging data-sets e.g. using multivariate and multimodal neuroimaging analysis methods. The postholder will have a strong background in imaging and imaging statistics, and cognitive and/or physiological ageing. Candidates should have, or be in the final stages of obtaining, a PhD in one of the following relevant areas: cognitive neuroscience, neuroimaging methods, applied statistics, or machine learning. Knowledge of and experience in advanced imaging analyses, particularly connectivity analysis is essential, and it would be an advantage to have some direct experience of MEG/EEG and/or fMRI. Excellent statistical, computer programming (including MATLAB and/or Python) and MEG analysis (SPM, Fieldtrip) skills are essential. Postdoctoral experience would be an advantage but is not essential. Candidates should be thorough, efficient, able to communicate effectively, and enjoy working as part of an energetic interdisciplinary team. The Centre has access to a research-dedicated 3T Siemens MR scanner, EEG and MEG facilities housed at the MRC Cognition and Brain Sciences Unit in Cambridge. Applications should be made online via the University of Cambridge Web Recruitment System. To apply online for this vacancy and to view further information about the role, please visit: http://www.jobs.cam.ac.uk/job/3195. This will take you to the role on the University of Cambridge’s Job Opportunities pages. There you will need to click on the 'Apply online' button and register an account with the University's Web Recruitment System (if you have not already) and log in before completing the online application form. Please ensure that you upload your Curriculum Vitae (CV) and a covering letter in the Upload section of the online application. Queries regarding this post can be directed to Mrs Marie Dixon, Cam-CAN Administrator, at admin(a)cam-can.com <mailto:admin@cam-can.com> or 01223 766458. The Vacancy number for this position is PJ02734. /Closing date: 17 March 2014 / /Limit of tenure: The funds for this post are available until 30 September 2015. / For further details, please see our website at http://www.cam-can.com/vacancies The University values diversity and is committed to equality of opportunity. The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

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High winds - closure of our main entrance
by Claire Fox (secretary for Gary Green) 12 Feb '14

12 Feb '14

Dear all, Due to the high winds, we have been informed by the York Science Park Facilities Manager *NOT* to use The YNIC/CHyM entrance door. There is a notice on the front door but please advise anyone you are expecting, to use the Park Central cafe entrance and walk through the Bio centre to YNiC. Keyfob access for YNiC entrance / exits will be deactivated this afternoon to allow CHYM staff and visitors access through the Bio Centre. There is sufficient concern that further sheet metal could be blown off the Bio centre roof so please *do not* use the YNiC entrance. Thank you for your cooperation. Best wishes, Claire -- Claire Fox PA to Professor Gary Green The York Neuroimaging Centre Innovation Way Science Park York YO10 5NY Tel: 01904 435329 Fax: 01904 435356 Email:Claire.fox@ynic.york.ac.uk Website:https://www.ynic.york.ac.uk/ E-mail disclaimer: http://www.york.ac.uk/docs/disclaimer/email.htm

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Re: Registration, Safety, Consent, Anomaly policy changes
by Gary Green 12 Feb '14

12 Feb '14

Dear Users There have been some significant changes to some key YNiC policies, procedures and documentation. These changes are briefly described here. 1) The anomalous finding policy has changed fundamentally. The new policy is intended to be more transparent to participants and researchers. The new procedures can be found on this page https://www.ynic.york.ac.uk/information/policies 2) This new policy has required changes to be made to the following documentation i) Clinical Diagnostic Policy ii) RGC Guidance iii) Participant registration and consent forms All of these new documents are available on the wiki. All scanning will be conducted using the new documentation. 3) Participant registration and General Consent form. This is now a single A4 page. It is version controlled. Once signed by a participant it is stored both electronically and in paper form in the YNiC reception office. If the form is modified in the future all participants will be required to complete the new version before being scanned again. Scanning will only be performed if there is a signed version of the 'current' Registration and Consent form available. 4) Participant Safety and Consent form. This form has undergone significant reworking. The safety form will now be completed at each attendance and the participant will verify their address and their GP's address as part of completing the form. At booking it is now possible to insert the R number of the participant. If this is done, customised safety and consent forms are automatically created and made available, at reception, for collection by the research team on the day of the scan This step has the advantage that the safety form is explicitly completed and signed by all concerned for all attendances (as would be the case in a clinical setting) and ensures that, in the event of changes to the safety form, the participant always completes an up to date and appropriate form. Upon completion of the scan these forms will be digitised and stored securely. The paper version will then be destroyed. Therefore, to reiterate, all participants will be required to complete the new Registration and consent form. You will still be required to bring both the 'Registration and Consent form' and the completed 'Safety and Consent' form with you to the scanner. Note, you still need to complete your own project specific consnet form and the administration of this remains the responsibility of the project research team. A summary can be found here https://www.ynic.york.ac.uk/docs/ProceduralInfo Please keep an eye on this page as we will be adding further information in the near future

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Fwd: job offer-full professor biological psychology, bielefeld, germany
by Gary Green 12 Feb '14

12 Feb '14

Professor Bielefeld University (Germany) Description The Department of Psychology of the Faculty of Psychology and Sports Science of Bielefeld University, Germany, invites applications for a FULL PROFESSOR (W3) “BIOLOGICAL/PHYSIOLOGICAL PSYCHOLOGY." The successful candidate will be head of the biological / physiological research group, coordinating both research and teaching. The candidate should be qualified by a relevant research and teaching profile and should have been successful in raising third-party funding. Candidates are expected to show an outstanding record of relevant international publications using experimental-neuroscience methods (e.g., ERP’s, fMRI, neuroendocrinology, TMS, studies with neurological and psychiatric patients). She/he should further participate in collaborative research within the department as well as to interdisciplinary research projects as, for example, the Cluster of Excellence “Cognitive Interaction Technology” (CITEC), and should cooperate with medical institutions in Bielefeld. For requirements and the application procedure we kindly invite you to visit our web pages: http://www.uni-bielefeld.de/Universitaet/Aktuelles/Stellenausschreibungen/w… (English translation) or http://www.uni-bielefeld.de/Universitaet/Aktuelles/Stellenausschreibungen/w… (German)

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Fwd: Post-doctoral position - MUSC Hearing Research Program, Charleston, S.C. USA
by Gary Green 12 Feb '14

12 Feb '14

The MUSC Hearing Research Program, in Charleston, S.C., is accepting applications for a Post-doctoral Scholar on age-related changes in hearing and speech recognition. This is a training opportunity to work with an interdisciplinary group of auditory scientists who use neuroimaging, electrophysiology, and psychoacoustic methods. The successful applicant will contribute to a neuroimaging study on speech recognition in older adults. There are also opportunities to interact with members of the MUSC Center for Biomedical Imaging that oversees the research-dedicated 3T Siemens Trio MRI scanner facility, as well as with members of our large neuroscience community. We seek applicants with expertise in audition, language, or attention. The successful candidate will have skills in at least one of the following areas: neuroimaging, programming, and statistics. Please email Dr. Mark Eckert for additional information (eckert at musc.edu). Applicants should include a CV and a statement of interests. MUSC is located on the coastline, in the heart of historic Charleston.

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Fwd: Full professorship for MEG in Salzburg (including an MEG!)
by Gary Green 12 Feb '14

12 Feb '14

Dear members of megcommunity, I would like to bring to your attention an advert for a tenured full professorship for Physiological Psychology: *The Department of Psychology and the Focus Area Cognitive Neuroscience at the University of Salzburg seek to fill the Chair in Physiological Psychology at the tenured full professor level with a focus on research with MEG and EEG. The appointment can be filled as soon as possible.* ** *The University of Salzburg shares with the Christian-Doppler Clinic and the Paracelsus Medical University a Magnetoencophalographic system (MEG) for research purposes in Salzburg. A specific responsibility of the chair will be managing the core-facilities MEG and EEG.* ** *Please see www.uni-salzburg.at/psy/jobs <http://www.uni-salzburg.at/psy/jobs> for details* ** *Deadline:** April, 2nd 2014* Best regards, Florian Hutzler

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Fwd Post-Doctoral Research Fellowship in Affective Neuroscience available at Kent State University
by Gary Green 12 Feb '14

12 Feb '14

Pending budgetary approval, the new Kent Electrical Neuroimaging Laboratory (KENL), a consortium of faculty from the departments of Biology, Psychology, and Sociology at Kent State University, seeks outstanding applicants for a post-doctoral research fellowship beginning June 1, 2014. This full-time, one-year Fellowship is renewable for an additional year (contingent on success). Salary and benefits are consistent with NIH guidelines. The successful candidate will work closely with consortium faculty to participate in productive multidisciplinary research programs and seek extramural funding. The Research Fellow will have access to professional development opportunities (e.g., methods workshops, grant-writing seminars), a stipend for books, travel, supplies, etc., and additional resources (e.g., small research and consultation awards). KENL’s research is enriched by strong, collaborative ties with local universities and hospitals, including University Hospitals (UH), Case Western Reserve University (CWRU), and the Cleveland Clinic. *Qualifications* KENL is dedicated to successfully creating a self-sustaining program of research broadly focused on elucidating the neurobehavioral correlates of individual/social functioning and well-being. We seek a post-doctoral Research Fellow, who has completed (or will complete by the start of the position) a PhD in in cognitive and affective neuroscience and who already possesses expertise collecting and analyzing EEG data. Ideally, the Research Fellow will also possess the background and expertise to assist with collaborative fMRI studies with our strategic partners at UH/CWRU and the Cleveland Clinic. Additional training and expertise in EEG and fMRI will be available as the Research Fellow participates in on-going studies and contributes to new research projects and grant applications. Current projects focus on learning and disease processes (Dr. Clements, Biological Sciences), the neurobehavioral bases of normative and disordered emotion regulation and the neurobehavioral bases of mindfulness meditation (Dr. Fresco, Psychology), as well as the multi-level neural and social substrates of empathy, social bonding, and morality (Dr. Kalkhoff, Sociology). The Research Fellow will nominally have an appointment within the Department of Psychology, but will work with KENL scholars on existing projects and will be encouraged to initiate their own program of research. Review of applications will begin immediately and continue until the position is filled. /Kent State is an Affirmative Action/Equal Opportunity Employer/. Send application materials, including statements of research interests, curriculum vitae, copies of publications and other supporting materials, and three letters of recommendation by email to Ms. Sandra Thouvenin (sthouven(a)kent.edu <mailto:sthouven@kent.edu>).

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