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Fwd: Investigator Scientist MRC Cognition and Brain Science Unit, Cambridge, UK
by Gary Green 02 Apr '15

02 Apr '15

*Investigator Scientist (Maternity leave cover)* *Starting Salary Â£27,084 â Â£30,486 per annum (dependent upon qualifications)* ** *MRC Cognition and Brain Science Unit, Cambridge, UK*** ** The MRC Cognition and Brain Sciences Unit (CBSU) is an internationally renowned research institute with state-of-the-art cognitive neuroscience facilities. Applications are invited for a post-doctoral scientist to join a team lead by Dr Matt Davis conducting cognitive neuroscientific research on speech processing. The primary objective of this position is to devise, implement, analyse and disseminate behavioural and brain imaging studies of speech perception and comprehension using Magneto- and Electro-encephalography (MEG/EEG). A particular focus will be studies that use time-frequency analyses of oscillatory neural responses, cerebro-acoustic coherence and acoustic decoding methods. This is a 12 month position in which you will work on projects concerning prediction and expectation in speech perception and comprehension, building on work initiated by staff on maternity leave. You will have, or be in the final stages of completing, a PhD in cognitive neuroscience or a related field and have previous experience in conducting neuroscientific experiments on human volunteers, including brain imaging (MEG/EEG). You will also have experience of conducting behavioural research on spoken language or auditory perception. You should have all the statistical and computational skills required for this research. In addition, you will have excellent organisational and communication skills, ensuring effective collaboration with junior and senior staff. The salary will be in the range of Â£27,084 - Â£30,486 per annum, depending upon qualifications and experience. This is supported by a flexible pay and reward policy, 30 days annual leave entitlement, and MRC final salary Pension Scheme. On site car and bicycle parking is available. ** Applications are handled by the UK Shared Business Services Ltd; to apply please visit our job board at http://www.topcareer.jobs/Vacancy/irc184433_5222.aspx and upload your CV along with a covering letter stating why you are applying for this role (when saving your documents please include the IRC number in the file name). If you are unable to apply online please contact us on 01793 867000 quoting reference IRC184433. *Closing date: 20^th April 2015*

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Fwd: Post-doctoral position at Imperial College London - MR physics development & application
by Gary Green 02 Apr '15

02 Apr '15

Post-doctoral MR physics position at Imperial College London, Division of Brain Science Full details here: http://www.jobs.ac.uk/job/AKV932/mr-physics-research-associate/ Imperial College London is seeking a post-doctoral MR Physicist to join its world-class neuroimaging research programme. The post-holder will be based within the Computational, Cognitive & Clinical Neuroimaging Laboratory (C3NL http://www.c3nl.com/) and will have access to the Imperial College Clinical Imaging Facility (ICCIF http://bit.ly/1Axf2Nv). C3NL brings together computational scientists, psychologists and clinicians to deliver translational neuroimaging research including combined MR/EEG/brain stimulation and real-time functional MRI. The post-holder will be encouraged to develop their own research program in an aligned area. The ICCIF offers Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET). A wide-range of imaging projects are conducted in the unit and there will be opportunities to collaborate with leading academic and clinical scientists. A proportion of your time will be dedicated to supporting the MR requirements of projects within the ICCIF. There are also a number of exciting new imaging initiatives in PET and MRI on the Hammersmith Campus. A new small animal imaging facility is open with 9.4 Tesla MRI and small-bore SPECT/PET and CT. Funding is in place for a clinical combined MRI/PET system, which will be based within Imanova, also on the Hammersmith Campus. There will also be the opportunity to link with MR and image processing research within the Departments of Computing and Engineering at Imperial College. Ideally you will have experience in MR pulse sequence programming and methodology development in areas such as fMRI, diffusion tensor imaging, dynamic-MRI and ASL-based perfusion imaging. A PhD or equivalent in Medical Physics or a closely related discipline is required. This is a full-time position based at the Hammersmith Campus, funded for two years in the first instance, with the expectation of further competitive funding as the group develops. Please contact Professor David Sharp to informally discuss the post (david.sharp(a)imperial.ac.uk). Our preferred method of application is online via our website at http://www3.imperial.ac.uk/employment (please select “Job Search” then enter the job title or vacancy reference number into “Keywords”). Please complete and upload an application form as directed quoting reference number HM2015055. James H Cole, PhD C3NL Division of Brain Sciences Department of Medicine Imperial College London

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Fwd : 3-Year PostDoc position in Glasgow
by Gary Green 02 Apr '15

02 Apr '15

3-Year Post-Doc position at the Centre for Cognitive Neuroimaging, Glasgow, UK We are seeking a candidate to perform neuroimaging studies (fMRI/MEG) on auditory perception in the context of a 3-year projected entitled, “The neural representation of vocal emotion: representational similarity analysis and information-theoretic approaches”. The study is performed in a leading neuroimaging facility (http://www.ccni.gla.ac.uk/) under the supervision of PIs Pascal Belin and Joachim Gross, co-investigators Bruno Giordano, Philippe Schyns and Sonja Kotz and in collaboration with an international team of experts ( Niko Kriegeskorte, Didier Grandjean, Stefano Panzeri). Candidates will be working in an interdisciplinary environment and will take over large parts of the project incl. data acquisition, data analysis, and dissemination. Ideal candidates have a PhD in a relevant subject area, and extensive and up-to-date theoretical and practical knowledge of MEG/EEG and/or fMRI, signal processing using Matlab, general neuroimaging experience as well as knowledge of the current literature in the fields of emotion and auditory perception. Experience with representational similarity analysis and/or Information Theory is desirable but not essential. This position is funded for 3 years at UK RA Salary Grade 7 (£33,242 – £37,394 per annum). Please see job description and apply online at www.glasgow.ac.uk/jobs Reference Number: 010278 Closing date: 30 April 2015 Questions may be directed to the PIs: Joachim.Gross(a)glasgow.ac.uk or pascal.belin(a)univ-amu.fr

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Booking MRI scans
by Beth Jefferies 01 Apr '15

01 Apr '15

Dear users, At the last meeting of the YNiC Science Committee, it was noted that users sometimes book MRI in a way that leaves small gaps between sessions. These periods of time then become unproductive. MRI is really busy so it is important that we make the best use of scanner time. When you book the scanner, please do your utmost to avoid gaps between projects whenever possible. Don't forget, users can come to the YNiC Science Meeting to raise concerns of this kind, to ask questions and to make proposals. The next meeting will take place on 27th April at 2pm, in Psychology room B002. You can also send items for discussion to me in advance (beth.jefferies(a)york.ac.uk). With thanks and best wishes Beth -- Beth Jefferies Department of Psychology, University of York, UK +44 01904 324368

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Fwd: HIRING at USC Neural Plasticity and Neurorehabilitation Lab
by Gary Green 01 Apr '15

01 Apr '15

Please see the two available job listings below: _Postdoctoral Fellow and Research Technician Positions in Neurorehabilitation_ The Neural Plasticity and Neurorehabilitation Laboratory (NPNL) of the University of Southern California, directed by Dr. Sook-Lei Liew, is now looking for *(1) a Postdoctoral Fellow* and *(2) a Research Technician*. The laboratory is devoted to the study of neuroplasticity and motor learning in healthy individuals and individuals after stroke. The overall aim is to understand mechanisms of brain plasticity and to apply this knowledge to the development of novel interventions to enhance recovery after stroke. The laboratory utilizes behavioral and non-invasive brain stimulation techniques, such as transcranial magnetic stimulation (TMS) or transcranial electric stimulation (tES, including tDCS, tAS, and tRNS), and neuroimaging (such as functional magnetic resonance imaging (fMRI) and electroencephalography (EEG)). Research will also entail working with a number of community and clinical partners throughout Los Angeles, California. More information about the NPNL can be found at http://npnl.usc.edu <http://npnl.usc.edu/>. The ideal candidate should have, or will soon have, a doctoral degree in a relevant scientific discipline for the Postdoctoral Fellowship and a bachelors or masters degree for the Research Technician position. The successful applicant should be highly motivated, organized, willing to learn, and possess strong written and verbal communication skills. Technical knowledge with Matlab and other programming languages (python, Linux, C++), an understanding of research methodology, and experience with neuroimaging and/or brain stimulation data acquisition and analysis is strongly preferred. Both positions are full-time, one-year (renewable) positions, preferably with a 2 year commitment, and can start as early as April/May 2015. For further information about these positions or to apply, please send a brief cover letter and CV to Sook-Lei Liew, PhD, OTR/L at sliew(a)usc.edu <mailto:sliew@usc.edu>. Thank you.

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Fwd: RA opportunity - Emory University
by Gary Green 01 Apr '15

01 Apr '15

A research assistant position will be available starting late spring/ summer of 2015 in the Translational Research in Affective Disorders Laboratory in the Department of Psychology at Emory University (http://tinyurl.com/TReADLab). The position will focus on implementation of a new NIMH-funded study using functional and neurochemical imaging to examine mechanisms of reinforcement learning in depression. Responsibilities will include assisting with all aspects of research (designing/programming experiments, recruiting/running participants, analyzing behavioral and neuroimaging data), grant and IRB administration. This is an excellent position for anyone seeking research experience and training in clinical and cognitive neuroscience before applying to graduate programs. Necessary skills/qualifications: A bachelor's degree or higher in cognitive science, neuroscience, computer science, psychology, math, biology, or other related field. Strong computer programming skills (especially MATLAB and/or Python) are required. Candidate should be self-motivated, independent, and reliable. Strong organizational and communication skills are also essential. Prior experience in human affective, clinical or cognitive neuroscience (e.g., conducting and analyzing fMRI or MRI studies), behavioral experiment administration, IRB management, or clinical interviewing experience will all be viewed positively, but are not required. The position is for a two-year commitment. Interested parties should email a CV, names of relevant professional references, and a brief statement of interest. Start date is flexible. ------------------------------------------------------------------------ Michael T. Treadway, PhD Assistant Professor Department of Psychology Emory University mtreadway(a)emory.edu p: 404.727.3166 c: 781.392.4145 http://tinyurl.com/TReADLab

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Fwd: Post Doc Opportunity -- University of Florida
by Gary Green 01 Apr '15

01 Apr '15

*Postdoctoral Research Associate* *University of Florida* The Laboratory for Rehabilitation Neuroscience (lrnlab.org) and Neuromuscular Physiology Laboratory (www.neuromuscularphysiologylab.com), located in the Department of Applied Physiology and Kinesiology, College of Health and Human Performance, at the University of Florida seeks a candidate for a NIH funded postdoctoral position in motor neuroscience using functional MRI, motor unit physiology, and behavioral motor control. The specific focus of the research is to investigate how spinocerebellar ataxia affects brain circuits and connectivity and how this relates to motor unit action potentials and behavior. QUALIFICATIONS: The candidate should have a Ph.D. in motor control, bioengineering, neuroscience, psychology, or related field. Expertise in using fMRI, electrophysiology, motor control, and/or cognitive neuroscience is highly desirable. Ability to work with patients with movement disorders, and/or strong evidence of writing ability will be important. APPLICATION: Applications must be submitted online at: http://jobs.ufl.edu/postings/63268and should include a cover letter, curriculum vitae, and email address of three references. Please send inquiries to Dr. Evangelos Christou (eachristou(a)ufl.edu <../../../AppData/Local/Microsoft/Windows/Temporary%20Internet%20Files/Content.Outlook/XF2EUJNE/eachristou(a)ufl.edu>) or David Vaillancourt (vcourt(a)ufl.edu <mailto:vcourt@ufl.edu>). Application deadline date is May 15, 2015, and applications will be considered beginning April 1, 2015.

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Fwd: Two Post-Doctoral Fellow positions are available in the CMI/NKI Computational Neuroimaging Lab
by Gary Green 01 Apr '15

01 Apr '15

Two Post-Doctoral Fellow positions are available in the CMI/NKI Computational Neuroimaging Lab (CNL; http://computational-neuroimaging-lab.org) under the direction of Cameron Craddock, PhD. The Computational Neuroimaging Lab is a subdivision of the Center for Biomedical Imaging and Neuromodulation (http://claymore.rfmh.org/) at the Nathan S. Kline Institute from Psychiatric Research(http://www.rfmh.org) and the Center for the Developing Brain (http://www.childmind.org/en/center-for-developing-brain/) at the Child Mind Institute (http://www.childmind.org). The lab's research agenda involves the development of novel computational analysis and experimental techniques for determining how brain function and structure are impacted by mental illness and development. Ongoing projects involve developing real-time fMRI experiments to evaluate the interaction between brain networks, applying machine learning and signal processing methods to map inter-individual variation in the human connectome, and optimizing MRI acquisition for pediatric and psychiatric populations. Additionally, the CNL is a strong supporter of open science as exemplified by developing the Configurable Pipeline for the Analysis of Connectomes (http://fcp-indi.github.io open source software package, openly sharing data through the International Neuroimaging Datasharing Initiative(http://fcon_1000.projects.nitrc.org), and spearheading the Preprocessed Connectomes Project (http://preprocessed-connectomes-project.github.io). To facilitate their research, fellows will work as a part of a highly collaborative and multidisciplinary team that integrates a broad range of disparate specialties (e.g. cognitive neuroscience, clinical psychology, computer science, engineering, mathematics). Post-Doctoral Fellow: development of neuroimaging data processing and analysis methods ====================================================================================== The primary responsibilities of this position will be to develop and evaluate analytical methods for the large scale (>> 1,000 datasets) processing and analysis of multimodal MRI neuroimaging data. Using multivariate methods, the incumbent will integrate information from disparate imaging modalities to identify clinically relevant subpopulations and related neurophenotypes from datasets that span a variety of disorders. The incumbent will be expected to conduct large-scale neuroimaging analyses (functional, structural, and diffusion MRI). They will mentor and in some cases supervise junior lab members such as research associates and graduate students. They must be able to work effectively in a very collaborative and multidisciplinary environment, write scientific manuscripts, and orally present their work. Qualifications: - PhD in biomedical engineering, cognitive science, electrical engineering, mathematics, or physics. - Significant prior neuroimaging experience with MRI, with strong skills in preprocessing and analyzing neuroimaging data using one or more of the common neuroimaging packages (e.g., AFNI, FSL, Freesurfer, Diffusion Toolkit, or SPM). - Programming experience in C/C++, Matlab, Python, and similar platforms. Post-Doctoral Fellow: Probing brain networks with real-time fMRI ================================================================ The primary responsibility of this research position will be to investigate the role of network dysregulation in psychiatric disorders using real-time fMRI. This will involve developing and maintaining a real-time fMRI system, as well as designing, implementing and performing real-time fMRI experiments. The incumbent will be expected to conduct large-scale neuroimaging analyses (functional, structural, and diffusion MRI). They will mentor and in some cases supervise junior lab members such as research associates and graduate students. They must be able to work effectively in a very collaborative and multidisciplinary environment, write scientific manuscripts, and orally present their work. Qualifications: - PhD in biomedical engineering, cognitive science, electrical engineering, mathematics, or physics. - Research experience with functional, structural, and diffusion MRI acquisition and analysis. - Proficient with common neuroimaging tools (AFNI, FSL, SPM, Freesurfer, etc.), as well as programming C/C++, Python, and shell scripting. - Strong skills in using data analysis tools such as Matlab and R. - Prior real-time fMRI and/or MRI sequence development experience is a strong plus. Salary and Anticipated Start Date: Salary is competitive and commensurate with experience/educational qualifications. Benefits include health, vision, and dental. Anticipated Start Date is immediate. Application details: Please email cameron.craddock(a)childmind.org to apply, please include a CV including the names of 3 references with your inquiry. Employment at Will Relationship: This position description does not constitute a guarantee that employment will continue for any specified period of time. Rather, employment is at the mutual consent of the employee and CMI, and can be terminated at will by the employee or by CMI. CMI reserves the right to modify the job description and/or reporting relationship at any time. CMI is an Equal Opportunity Employer. CMI is committed to recruiting and maintaining a diverse staff; individuals from all backgrounds are strongly encouraged to apply. -- Cameron Craddock, PhD Director of Imaging, Center for the Developing Brain Child Mind Institute childmind.org 445 Park Avenue (entrance on 56th Street) New York, NY 10022 Director, Computational Neuroimaging Laboratory Nathan S. Kline Institute for Psychiatric Research www.rfmh.org/nki 1040 Old Orangeburg Road Orangeburg, NY, 10962 This email message, including any attachments, is for the sole use of the intended recipient(s) and may contain information that is proprietary, confidential, and exempt from disclosure under applicable law. Any unauthorized review, use, disclosure, or distribution is prohibited. If you have received this email in error please notify the sender by return email and delete the original message. Please note, the recipient should check this email and any attachments for the presence of viruses. The organization accepts no liability for any damage caused by any virus transmitted by this email.

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Fwd: Postdoctoral Position at UNC-Chapel Hill in Human Electrophysiology (EEG, tDCS/tACS, TMS)
by Gary Green 01 Apr '15

01 Apr '15

Postdoctoral Position at UNC-Chapel Hill in Human Electrophysiology (EEG, tDCS/tACS, TMS) We are seeking to fill one postdoctoral position in human electrophysiology in the Frohlich Lab (www.frohlichlab.org<http://www.frohlichlab.org/>) at the University of North Carolina at Chapel Hill. We are a rapidly growing lab that aims to understand how cortical network dynamics emerge and how these dynamics can be modulated with brain stimulation. We have received grant funding to further grow our human electrophysiology team in the lab. In particular, we are interested in understanding how (feedback) non-invasive brain stimulation alters cortical network dynamics that mediate cognition. The successful applicant will employ tDCS/tACS, EEG, TMS, and cognitive testing for elucidating the functional role of cortical oscillations in cognition and for the development of novel strategies to enhance brain function and treat cognitive deficits in psychiatric disorders such as schizophrenia and autism. The successful candidate has a PhD in neuroscience or related discipline and a track record of first class science demonstrated by first-author, peer-reviewed scientific articles in the area of human neurophysiology. Documented skills in EEG and cognitive assays are a prerequisite; programming and data analysis skills are essential. We will provide training in non-invasive brain stimulation methods. Please send your CV and a brief statement of research interest to flavio_frohlich(a)med.unc.edu<mailto:flavio_frohlich@med.unc.edu> . Also, please have two letters of recommendation directly submitted to the same email address. We are looking forward to meeting passionate and hard-working applicants who are ready for cutting-edge human neuroscience research. The Frohlich Lab takes pride in its high-quality science, productive work environment, and culture of mentoring and collaboration. The Frohlich aims to be a leading force in the emerging field of network neuroscience. The Frohlich Lab is a unique environment due to the vertical integration of computer simulations, slice electrophysiology, in vivo electrophysiology, human EEG and brain stimulation studies, and clinical trials. Applications will be immediately reviewed until the position is filled. Start date is flexible but the earlier the better. _______________________________________________

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Fwd: Research Associate (Post-doc) Neuroimaging Cambridge
by Gary Green 29 Mar '15

29 Mar '15

Applications are invited for a Post-Doctoral Researcher to join the Wellcome Trust Consortium for Neuroimmunology of Mood Disorders and Alzheimer’s Disease (NIMA). The post will be based at the Cambridge Biomedical Campus, Cambridge UK, under the supervision of Prof. Ed Bullmore. NIMA is a 5-year research programme, with total funding of approximately £5.7M, designed to translate the new inter-disciplinary science of neuroimmunology to therapeutic applications in psychiatry and neurology. The research programme will be coordinated across a network of UK academic centres (University of Cambridge, University of Sussex, University of Cardiff, University of Glasgow, King’s College London, University of Oxford and University of Southampton) and two major pharmaceutical companies (Janssen Pharmaceuticals R&D and H. Lundbeck A/S). The scientific scope of the research will include clinical biomarker studies, therapeutic trials of new drugs in patients with depression and Alzheimer’s disease and is intended to develop new treatment approaches for these conditions. Prof. Ed Bullmore (University of Cambridge) and Dr. Neil Harrison (University of Sussex) will co-lead MRI components of the Consortium which will be undertaken at Cambridge, Glasgow, KCL, Oxford & Sussex. This post will be based at the Cambridge Biomedical Campus and will involve close coordination with Sussex as well as each of the other imaging sites. The research programme will use a range of advanced quantitative techniques including models of magnetisation transfer (qMT), T1/ T2 mapping and diffusion imaging (NODDI), as well as task-related functional imaging and graph theoretic analyses of multi-echo resting state fMRI in conjunction with peripheral and CSF immunophenotyping to investigate the neural and peripheral signatures of inflammation in patients with depression. Comparable techniques as well as histology will be acquired in rodent inflammation models at other sites to facilitate back-translation of the human imaging findings. The post holder will work closely with a postdoc based at Sussex and other researchers at both sites to analyse all of the imaging data acquired from up to 150 patients and controls. This post offers an outstanding opportunity to be involved in a large multi-centre consortium combining cutting-edge microstructural and functional neuroimaging with deep immunological phenotyping to characterise the role of inflammation in the commonest mental disorder depression. The successful candidate will assist in the initial quality control of sequences across imaging centres and the analysis and interpretation of the imaging data. The post will involve close collaboration with other leading UK neuroimaging groups as well as groups working on functional immunological network changes. For further information and link to application go to http://www.jobs.cam.ac.uk/job/6526/

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