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by Gary Green

Postdoctoral Research Fellowship Behavioral Psychopharmacology Research Laboratory McLean Imaging Center at McLean Hospital, Belmont, MA Harvard Medical School A National Institute on Drug Abuse (NIDA)-sponsored T32 Postdoctoral Research Position is available in a multidisciplinary, productive and stimulating environment with excellent research, clinical and training resources. The focus of the training is on brain imaging (EEG, MRI, MRS, near infrared spectroscopy (NIRS)), psychiatry and substance abuse with an additional focus on translational research. A recent partnership with the Martinos Center for Biomedical Imaging at the MGH, allows us to offer training in PET as well. Current resources include clinical 3T and 4T magnets and a 9.4T small bore animal magnet. Applicants with a background in brain imaging, computational science, physics, methods development and imaging-related statistics are sought and the program will be tailored to meet the individual’s needs in order to help him/her to develop into an independent researcher with a focus on neuroimaging of addiction or addiction psychiatry. After working with a preceptor, the fellow will be given opportunities to conduct research in a number of areas in order to advance his/her career development. Fellowships are available for 2-3 years. Applicants should hold an M.D., Ph.D. or equivalent degree in physics/medical physics, computer science, neuroscience, psychology, pharmacology or a related field. Minorities and women are strongly encouraged to apply. Earliest possible start date is July1, 2014; salary is commensurate with experience and is dictated by NIH guidelines (http://grants.nih.gov/grants/guide/notice-files/NOT-OD-14-046.html). Candidates must be US citizens or hold a green card. Inquiries may be made to the Director of the Program, Dr. Scott E. Lukas at 617-855-2767 or via e-mail at slukas(a)mclean.harvard.edu with a copy to the T32 Administrative Assistant, Wendy Tartarini (wtartari(a)mclean.harvard.edu); she may also be reached at 617-855-2174. To set up a meeting at the OHBM meeting at Hamburg, contact Dr. Blaise Frederick via email at bbfrederick(a)mclean.harvard.edu or Dr. Amy Janes (ajanes(a)mclean.harvard.edu ).

11 years

Fwd: PhD studentship in Psychology / Statistics

by Gary Green

PhD studentship in Psychology / Statistics: From peak to meta-analysis map: cumulating knowledge across neuroimaging studies Responsible: Ruth Seurinck & Beatrijs Moerkerke, Department of Data Analysis, Faculty of Psychology and Educational Sciences, Ghent University, Belgium Functional magnetic resonance imaging (fMRI) is an important research technique in psychology. Since publications of single fMRI studies have flourished, it is increasingly recognized that progress in understanding human brain function will not only require the acquisition of new data but a synthesis and integration of data across studies and labs (Yarkoni, Poldrack, Van Essen & Wager, 2010). Meta-analysis is a promising tool to achieve this goal. The current available procedures for fMRI data use coordinate-based techniques where the limited amount of voxels that survive a statistical threshold are combined into one map to determine the location in the brain of the overall observed effect (Laird et al., 2005; Radua et al., 2009; Wager, Lindquist, Nichols, Kober and Van Snellenberg, 2009). However, statistical significance is not an optimal indicator for the true underlying effect and information is only available for these significant peak voxels. Also, there is evidence of publication bias in fMRI studies. Studies that do not reach statistical significance are less likely to be published and included in a meta-analysis, distorting the results of the meta-analysis. A recent study demonstrated evidence for publication bias in a meta-analysis of the frontal lobe in working memory by summarizing activation in the frontal lobe (> 1000 voxels) in a single effect size for each study (Jennings and Van Horn, 2012). The main goal of this research proposal is to adapt coordinate-based meta-analysis methods for fMRI data to create an informative set of meta-analysis brain maps with a focus on effect size estimation. We will further develop procedures for the assessment and correction of publication bias. This project obtained a grant from the Research Foundation Flanders (FWO) and will be conducted in close collaboration with dr. Simone Kühn from the Max Planck Institute for Human Development in Berlin, Germany. Candidate The successful candidate will hold a Master's degree in Psychology (or related discipline) and/or Statistical Data Analysis. She/he will be hosted within a dynamic group of researchers. She/he will be offered excellent training and development opportunities, and will be involved in both methodological development on meta analysis in fMRI studies as well as the applications thereof. Duration: 48 months Date of start: as soon as possible Please send your application (including a current CV, publication list, letter of recommendation and copies of diplomas and certificates) to Beatrijs Moerkerke. We encourage candidates to apply early. Applications received before June 2, 2014 will be given full consideration. Applications received after June 2 will be considered as they arrive, until the position is filled. Contact: Beatrijs Moerkerke Department of Data Analysis Faculty of Psychology and Educational Sciences Ghent University, Belgium E-mail: Beatrijs.Moerkerke(a)UGent.be References Jennings, R. G., & Van Horn, J. D. (2012). Publication bias in neuroimaging research: Implications for Meta-analyses. Neuroinformatics, 10, 67-80. Laird, A. Fox, P.M., Price, C.J., Glahn, D.C., Uecker, A.M., Lancaster, J.L., Turkeltaub, P.E., Kochunov, P., & Fox, P.T. (2005). ALE meta-analysis: Controlling the false discovery rate and performing statistical contrasts. Human Brain Mapping, 25, 155-164. Radua, J., Mataix-Cols, D., Phillips, M.L., El-Hage, W., Kronhaus, D.M., Cardoner, N., & Surguladze, S. (2009). A new meta-analytic method for neuroimaging studies that combines reported peak coordinates and statistical parametric maps. European Psychiatry, 27, 605-611. Wager, T. D., Lindquist, M. A., Nichols, T. E., Kober, H., & Van Snellenberg, J. X. (2009). Evaluating the consistency and specificity of neuroimaging data using meta-analysis. Neuroimage, 45, S210-S221. Yarkoni, T., Poldrack, R. A., van Essen, D. C., & Wager T. D. (2010). Cognitive neuroscience 2.0: building a cumulative science of human brain function. Trends in Cognitive Sciences, 14, 489-496.

11 years

Fwd: Postdoctoral position in FMRI of breathlessness / Oxford

by Gary Green

I have a postdoctoral position in my group -- 3 year position investigating brain plasticity in breathlessness perception in patients with chronic obstructive pulmonary disease. The job advertisement is at the link below, and of course, please get in touch <https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.disp…> with best wishes Kyle -- Dr Kyle Pattinson, BM DPhil FRCA Senior Clinical Research Fellow / University Research Lecturer Nuffield Department of Clinical Neurosciences University of Oxford, John Radcliffe Hospital Oxford, OX3 9DU Consultant Anaesthetist Nuffield Department of Anaesthetics Oxford University Hospitals NHS Trust John Radcliffe Hospital, Oxford, OX3 9DU http://www.ndcn.ox.ac.uk http://www.fmrib.ox.ac.uk/~kylep/index2.html

11 years

MEG/EEG research group meeting

by Emma Holmes

Dear all, The next MEG/EEG group meeting will be *Thursday 8th May *at *12:00pm* Scott Cairney will be presenting "Reactivating and Reorganising Memories in Sleep". Hope to see you there! Best, Emma ____________________________________________ Emma Holmes PhD Student Room B001b, Department of Psychology, University of York, Heslington, York, YO10 5DD, UK. Email: eh776(a)york.ac.uk; Tel: 01904 322879

11 years

YNiC Science Committee Meeting. Monday 28th April, 2pm. Psychology C108.

by Michael Simpson

Dear all, the next meeting for the YNiC Science Committee is on Monday 28th April at 2pm in C108. The meeting will be less than 1hr and is held in Psychology, which should be convenient for many users. This meeting is a key mechanism by which YNiC can support the needs of users. If you would like to raise an issue at the meeting, please email the Chair of Science Committee, <beth.jefferies(a)york.ac.uk> so that your item can be added to the agenda for discussion. The agenda for the meeting is: 14/10. Apologies for absence. 14/11. Approval of previous minutes. 14/12. Matters arising. 14/13. YNiC Science issues. 14/14. YNiC Ethics and Research Governance issues. 14/15. Any issues raised by users of YNiC. 14/16. Any issues passed from the Dept. Research Committee. 14/17. Plans for Science Day. 14/18. Any Other Business. Kind regards, 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

11 years

YNiC seminar 24th April

by Rebecca E Millman

Dear Users Please note that YNiC seminars will now take place in B020, Department of Psychology, at a slightly earlier start time of 4 pm. This Thursday (4 pm in B020) there will be 2 internal project proposal presentations: 1) David Smailes "Associations between brain structure, parental bonding, bullying, mind-mindedness, and psychotic-like experiences" 2) Bruce Keefe "Is global orientation processed in LO1?" Everyone is welcome to attend and refreshments will be served afterwards. Best wishes Rebecca -- Dr. Rebecca E. Millman York Neuroimaging Centre The Biocentre York Science Park York YO10 5DG Email: rem(a)ynic.york.ac.uk Tel: 01904 435 5373

11 years

Fwd: Research Coordinator - Northwestern University Chicago

by Gary Green

Research Coordinator job available at Northwestern University’s Cognitive Neurology and Alzheimer’s Disease Center in Chicago, IL. The research assistant will be responsible for analysis of neuroimaging datasets, in order to contribute to neuroscientific studies of normal aging and pathological aging. Duties include coordinating PET and MRI scans, and analyzing the resultant structural and functional imaging data. Additional duties include working on graphics for manuscripts and grants or other general lab responsibilities. Candidates must have proficiency with computer programming, ideally with relevant technical languages such as MATLAB or Python. They must be willing to learn new MRI analysis software and troubleshoot problems independently. Prior experience with neuroimaging analysis suites such as Freesurfer, FSL, or SPM would be extremely useful. Relevant backgrounds would be in Neuroscience, Biology, Psychology, Computer Science, Mathematics, and Biomedical Engineering. *Minimum Qualifications:* - The candidate must hold a Bachelor degree. - Candidate must be fluent in at least one programming language. - A two-year commitment is requested. *Preferred Qualifications: * - Experience using SPM/Freesurfer or other neuroimaging platforms. Interested applicants can apply online here: http://www.northwestern.edu/hr/careers/ Job ID: 23069 If you have specific questions please email: amartersteck(a)northwestern.edu To learn more about our center please go to: www.brain.northwestern.edu

11 years

Fwd: Research specialist position in the Wisconsin ADRC Imaging Group

by Gary Green

We are pleased to announce an opening for a data analyst in the Wisconsin Alzheimer’s Disease Research Center Neuroimaging Group (www.brainmap.wisc.edu), a multidisciplinary collective of more than 20 principal investigators with over 41 human and nonhuman primate research projects spanning the diagnostic spectrum from normal aging to Alzheimer’s dementia. The successful candidate will be actively engaged in neuroimaging research studies of lifestyle factors (e.g., physical activity, cognitive reserve) in healthy aging and preclinical Alzheimer’s disease. A bachelor's degree is required (students graduating this spring may apply). Preferred majors include psychology, neuroscience, exercise science, kinesiology, the life sciences, computer sciences, med physics, or other related fields. Experience in brain image analysis, including use of software such as Matlab, SPM, FSL, AFNI, & FreeSurfer is preferred. Proficiency with Linux or a programming language is desirable. The applicant should have the flexibility to work both independently and collaboratively, and should understand basic elements of research studies such as study design & objectives, study visit logistics, statistical analyses, and presentation of results. This position requires analytic thinking, good interpersonal skills, and the ability to communicate effectively with colleagues and study participants. Interested candidates need not satisfy each of the foregoing conditions to apply. Primary duties include:  Brain Image and Cognitive Data Analyses/Processing (~45%) • Conduct brain image analyses using relevant software such as Matlab, SPM, FSL, AFNI, & FreeSurfer. • Analyze cognitive and other clinical data using relevant software such as SPSS, SAS, R. • Work under the supervision of principal investigator to prepare research data for presentation at scientific meetings and publication in peer-reviewed journals.  Study Coordination (~45%) • Recruit and enroll study participants, including phone contacts. • Maintain study schedules and appointments. • Run study visits. • Maintain IRB approvals and ensure that all research protocols are followed. Secondary duties (~10%) include attending lab meetings, interacting with lab investigators/staff, and executing other research-related tasks as determined by the supervising principal investigator. The percent effort devoted to the above duties may fluctuate depending on the lab’s needs. A period of evaluation will be required. Additional information about the position may be found at http://www.ohr.wisc.edu/WebListing/Unclassified/PVLSummary.aspx?pvl_num=794… Please send resume and cover letter referring to Position Vacancy Listing #79416 to: Amy Hawley J5/Mezz Clinical Science Center 600 Highland Ave Madison, WI 53792-2420 Email: fmri(a)medicine.wisc.edu; Phone: 608-265-2201; Fax: 608-265-3091 NOTE: Unless confidentiality is requested in writing, information regarding the names of applicants must be released upon request. Finalists cannot be guaranteed confidentiality. UW-Madison is an equal opportunity/affirmative action employer. We promote excellence through diversity and encourage all qualified individuals to apply.

11 years

Fwd: Full Time Paid Research Assistant Position for fMRI and Virtual Reality Study

by Gary Green

The Rissman Memory Laboratory at UCLA is conducting a research project investigating the cognitive and neural mechanisms of learning in virtual reality (VR) environments. An employment opportunity is available for a full-time Laboratory Assistant III, who ideally would start this June and continue through July 31, 2015. The incumbent will participate in many aspects of research in the lab, including: assisting with the development of VR environments and interactive learning tasks, assisting with behavioral testing and fMRI scanning, verifying data and entering pertinent information into database for statistical analysis, conducting statistical analyses, assisting with behavioral and fMRI data visualization, purchasing and organizing laboratory supplies, handling IRB-related paperwork, screening and recruiting experimental participants, obtaining informed consent, scheduling participants for testing, tracking progress of the study, collaborating with a team of volunteer undergraduate research assistants. This is a great skill-building opportunity for someone thinking about applying to graduate programs in psychology, cognitive science, or neuroscience. For more information about the desired qualifications and how to apply, please click here: http://hr.mycareer.ucla.edu/applicants/Central?quickFind=63479

11 years

Fwd: Research Associate positions at ISRC, University of Ulster.

by Gary Green

The School of Computing and Intelligent Systems at the University of Ulster has two available 2-year fixed term research associate posts. One of the posts will involve research in the general area of neuroimaging using magnetoencephalography (MEG), particularly with application in mild cognitive impairments. The other post will involve research in the general area of computational modelling of neuromodulatory effects on MEG signals. Interested applicants are welcomed to apply at: http://www.jobs.ac.uk/job/AIJ303/research-associate/ http://www.jobs.ac.uk/job/AIJ301/research-associate <http://www.jobs.ac.uk/job/AIJ301/research-associate/>/ Note that the closing date is on 28 April 2014. Successful applicants will be based primarily at the Functional Brain Mapping facility at the Intelligent Systems Research Centre (ISRC) with opportunities to interact with other related research teams at the ISRC (e.g. Brain-Computer Interface and Assistive Technologies, Computational Neuroscience, Bio-Inspired and Neuro-Engineering, and Cognitive Robotics), research groups from the (5* research rating) Biomedical Sciences Research Institute, and the recently developed Centre for Stratified Medicine. With best wishes, Girijesh. --------------------------------- Prof. Girijesh Prasad, Professor of Intelligent Systems, Intelligent Systems Research Centre, School of Computing and Intelligent Systems, Faculty of Computing & Engineering, University of Ulster, Magee Campus, Derry~ Londonderry BT48 7JL, N. Ireland, United Kingdom. e-mail: g.prasad(a)ulster.ac.uk <mailto:g.prasad@ulster.ac.uk> phone : +44 - (0)28 71 - 375645, 375409 fax : +44 - (0)28 71 – 375470 ------------------------------------------------------------------------ This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of the University of Ulster. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. The University of Ulster does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The University of Ulster was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for the University of Ulster in Northern Ireland is,Cromore Road, Coleraine, Co. Londonderry BT52 1SA

11 years

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