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Fwd: NIH Staff Scientist Position available, Bethesda, MD, USA
by Gary Green 02 May '14

02 May '14

Posted on behalf of the CPB: Department of Health and Human Services (DHHS) National Institutes of Health (NIH) National Institute of Mental Health (NIMH) Division of Intramural Research Programs (DIRP) Section on Childhood Neuropsychiatric Disorders (SCND) Child Psychiatry Branch (CPB) Staff Scientist The Child Psychiatry Branch, in Bethesda, Maryland, is recruiting applicants for a Staff Scientist position. As a Staff Scientist, the primary duties will include conducting statistical analyses on clinical, neurobiological and treatment studies carried out in the Branch. This includes but is not limited to tasks such as maintaining the appropriate data sets, clearly conveying statistical results and methods both orally and in writing, reviewing and writing statistical content for manuscripts prior to submission, and working closely with and providing statistical support for all Branch members. The Staff Scientist position entails 25% time allotted to pursuing individual research interests. The Child Psychiatry Branch is a highly productive and collaborative group with a rich, multimodal dataset that seeks to understand neurodevelopmental disorders, with a focus on childhood-onset schizophrenia. There is a strong scientific and statistical computing core facility in existence, which can benefit this work. For more information about the Child Psychiatry Branch, please utilize the following link: http://www.nimh.nih.gov/labs-at-nimh/research-areas/clinics-and-labs/chp/in dex.shtml Interested candidates must have five years post-doctoral experience. Applicants should have a strong background in statistics and programming/computer science, as well as interests and experience in neuroimaging and behavioral research. The recruit should be adept at writing his/her own code to clean, organize, analyze, and visualize data. Unix and python programming skills are also preferable. In addition some highly desirable skills include: experience analyzing structural MRI, functional MRI and/or MEG data; a solid foundation in multivariate statistics (e.g., cluster analysis, principal components analysis, independent components analysis), and a background in longitudinal data analysis (e.g., mixed model regression/hierarchical linear modeling); proficiency in statistical programs such as R and MATLAB and visualization methods. SALARY RANGE: Salary is commensurate with experience and accomplishments. BENEFITS: The federal government offers a comprehensive benefits package including vacation, sick leave, holidays, life insurance, health benefits, and participation in the Federal Employees Retirement System. For more information go to new employee benefits at the NIH (http://hr.od.nih.gov/Benefits/permanentemployee.htm) and other employee benefits information (http://tiny.cc/saVcr). Interested applicants should send their CV and cover letter to Dr. Judith Rapoport, NIMH, 10 Center Drive, Bldg. 10, Rm. 3N202 (MSC-1600), Bethesda, MD 20892 USA, or by email: rapoporj(a)mail.nih.gov SUBMISSION DEADLINE: June 1, 2014 NIH and DHHS are Equal Opportunity Employers.

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Fwd: Ph.D. opportunity at the University of Manchester
by Gary Green 01 May '14

01 May '14

We would like to draw your attention to an opportunity to undertake a fully-funded Ph.D. with the Audiology and Deafness Research Group in the School of Psychological Sciences at the University of Manchester. Please forward this message to anyone who may be interested. The topic is "Using health behavioural change approaches to predict and encourage hearing aid uptake and adherence in adults with age-related hearing loss", supervised by Professors Kevin Munro & Chris Armitage and funded by Phonak AG. Project details can be found here: http://www.findaphd.com/search/ProjectDetails.aspx?PJID=54592 Please email kevin.munro(a)manchester.ac.uk for further details. Thank you very much

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update on YNiC seminars
by rem 30 Apr '14

30 Apr '14

Dear Users There will be no YNiC seminars until B020 becomes available later this term. Our next planned seminar will take place on 22nd May. Please see our website for an updated list of confirmed seminars for the summer term: https://www.ynic.york.ac.uk/events/thursday-sessions#preview There are also some project proposal presentations in the pipeline and I will advertise these talks when the presenters are ready. 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 Research Assistant Positions at Boston Children's Hospital
by Gary Green 29 Apr '14

29 Apr '14

TwoResearchAssistantPositions at Children'sHospitalBoston: Pediatric and Infant (f)MRI/developmental cognitive neuroscience/typical and atypical reading development GaabLab at Children'sHospitalBoston Developmental Medicine Children'sHospitalBoston RESEARCHSTUDYASSISTANTS: Children'sHospitalBoston(Harvard Medical School); Developmental Medicine Center, Laboratories ofCognitiveNeuroscience: A) TechnicalResearchStudyAssistantto join theGaabLab/www.bostonchildrens.org/gaablab <http://www.bostonchildrens.org/gaablab>/and (www.babymri.org <http://www.babymri.org/>) to assist with all study phases of functional and structural MRI for several projects. This includes design and implementation of experiments; help with operation of MRI scanner, implementation and maintenance of analysis software; technical support for lab personnel. Advanced computer skills required. This position is ideal for anyone considering future graduate study in cognitive (developmental) neuroscience, computer science,cognitivescience orneuroscience. Bachelor's Degree in computer science, psychology,cognitivescience,neuroscience, math, or related field required. Comfort with a heterogeneous computing environment (Linux/Unix, Mac, and Windows) as well as some programming experience required; knowledge of psychological experiment software (E Prime, Presentation, etc.) and/or fMRI analyses software helpful. Demonstrable pre-existing interest incognitiveneurosciencedesired; knowledge of neuroanatomy or statistics helpful. Must be self-motivated and able to work in a fast-paced, changing environment and must like working with children. Start date June/July 2014 or later; 18 months commitment preferred. Please send application package to Nadine GaabNadine.gaab(a)childrens.harvard.edu <mailto:Nadine.gaab@childrens.harvard.edu> B) Research Study Assistant to join the Gaab Lab /www.bostonchildrens.org/gaablab <http://www.bostonchildrens.org/gaablab>/and (www.babymri.org <http://www.babymri.org/>) to assist with day-to day operations and functions and development and implementation of research procedures. This includes subject recruitment for pediatric research studies which will include close interaction with schools in the Boston area, scheduling of pediatric research subjects, database maintenance, pediatric testing (including MRI/fMRI scanning of young children and infants [see www.babymri.org <http://www.babymri.org>]) and data analyses (psychometrics, psychophysics and functional magnetic imaging), stimuli design and administrative work (e.g.; preparation of internal review board proposals). Demonstrable pre-existing interest in cognitive neuroscience desired; knowledge of project management, psychological experiment software (e.g.: Eprime or Presentation) or statistics helpful. Advanced computer skills highly desirable but not required. Bachelor's Degree in psychology, education, child development, cognitive science, neuroscience, or related field required. Must be self-motivated and able to work in a fast-paced, changing environment and must like working with children and families. Start date June/July 2014 or later; 18 months commitment preferred. Please send application package to Nadine Gaab Nadine.gaab(a)childrens.harvard.edu <mailto:Nadine.gaab@childrens.harvard.edu> /"If we knew what it was we were doing, it would not be called research, would it?" A. Einstein (1879-1955)/ /Nadine Gaab, PhD/ /Assistant Professor of Pediatrics/ /Boston Children's Hospital/Harvard Medical School /// /Department of Medicine/////Division of Developmental Medicine/ /Laboratories of Cognitive Neuroscience 1 Autumn Street (Office 643); Boston, MA 02115/ /nadine.gaab(a)childrens.harvard.edu <mailto:nadine.gaab@childrens.harvard.edu>/ /phone: 857-218-3021/ www.childrenshospital.org/research-and-innovation/research-labs/gaab-labora… <http://www.childrenshospital.org/research-and-innovation/research-labs/gaab…> www.babymri.org

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Fwd:PhD Position in Decision Neuroscience at the University of Basel, Switzerland
by Gary Green 29 Apr '14

29 Apr '14

Dear colleagues, the Department of Psychology of the University of Basel, Switzerland (Center for Economic Psychology), is seeking applicants for a 3-year Ph.D. position. Successful candidates will get the opportunity to work towards their Ph.D. in Psychology within a project that is funded by the Swiss National Academy of Science (Schweizer Nationalfonds, SNF). The project, jointly led by Dr. Sebastian Gluth and Prof. Dr. Jörg Rieskamp, will investigate cognitive and neural mechanisms of reward-based decision and learning processes with the use of neuroimaging tools such as fMRI and EEG. The ideal candidate would have a M.Sc. in psychology, cognitive science, neuroscience or a related field and should be interested in cognitive neuroscience and quantitative research methods. Prior experience with the analysis of fMRI/EEG data and/or with cognitive modeling is desirable. The position allows focusing entirely on conducting research. Applicants will be part of an international work group and an English-speaking environment at the University of Basel. The salary will be about 45,000 Swiss Francs (approx. 51,000 USD or 36,000 EUR) per year. Additional resources to fund experiments and conference travels are available. Review of applications will start on the 25^th of May and will continue until the position is filled. Please submit applications (consisting of a short cover letter describing your motivation, curriculum vitae, and a letter of recommendation) to sebastian.gluth(a)unibas.ch <mailto:sebastian.gluth@unibas.ch>. The position can start immediately but later start dates are also possible. The Center for Economic Psychology is directed by Prof. Dr. Jörg Rieskamp. The lab has access to a research-dedicated 3T MR scanner, EEG- and eye-tracking facilities. The lab is part of the growing Department of Psychology at the University of Basel, one of the leading research Universities in Europe. Basel is situated at the river Rhine right at the border to France and Germany. It’s a great place to live and work. Quality of life, health care, and public transportation meet the highest international standards. Please do not hesitate to send us an email for further inquiries. We are looking forward to your application!

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Fwd: Postdoc EEG data analysis and source modeling
by Gary Green 29 Apr '14

29 Apr '14

*From: *Thomas Knoesche <knoesche(a)cbs.mpg.de <mailto:knoesche@cbs.mpg.de>> *Subject: **Postdoc EEG data analysis and source modeling* *Date: *29 Apr 2014 13:02:42 GMT+2 *To: *Thomas Knoesche <knoesche(a)cbs.mpg.de <mailto:knoesche@cbs.mpg.de>> Dear colleagues, would you please be so kind as to spread the job offer cited below at your institutions and forward it to anyone whom you know and who might be interested? Thank you so much, Thomas Knösche -------------------------------- The Research & Development Unit „MEG and Cortical Networks“ at the Max-Planck-Institute for Human Cognitive and Brain Science at Leipzig offers a position as POSTDOCTORAL RESEARCHER in the area of Medical Signal Processing and Biophysical Modelling. The research project aims at the development of fast and effective processing techniques for EEG data. The task of the successful applicant will be to develop methods for artefact identification and correction, spatial interpolation and source reconstruction. The successful applicant holds a PhD degree in informatics, mathematics, physics, biomedical engineering, electrical engineering or similar. Experience with the measurement and analysis of brain signals is an advantage, but not essential. A keen interest in the biological foundations of cognition should be present. Decent programming skills are of importance. 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. The position is available for 2 years. Payment is according to the German scale TVöD 13. The selection procedure starts as the applications come in. Please send your application by email, citing the code number "PD 14" to: PD Dr.habil. Thomas R. Knösche Max Planck Institute for Human Cognitive and Brain Sciences Stephanstraße 1A, 04103 Leipzig, Germany [phone: +49 341 9940-2619] [email: knoesche(a)cbs.mpg.de <mailto:knoesche@cbs.mpg.de>]

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Fwd: Postdoctoral Position in fMRI at Northwestern University
by Gary Green 29 Apr '14

29 Apr '14

Postdoctoral Fellowship Position in fMRI at the Rehabilitation Institute of Chicago in Northwestern University's Department of Physical Medicine and Rehabilitation Duration: 2 years (option to renew for additional years) Start date: Summer 2014 Salary: Depends on experience, in accordance with NIH Guidelines For further information, applicants should contact: Jordan Grafman, Ph.D. Director, Brain Injury Research Program Director, Cognitive Neuroscience Laboratory jgrafman(a)northwestern.edu Overview: The focus of research in the Cognitive Neuroscience Laboratory is identifying the forms of knowledge represented in the prefrontal cortex and related brain structures (including social processes, event parsing and storage, planning processes, etc.), and studying functional neuroplasticity during learning and during recovery of function after brain injury. The operating framework to study these processes and their disorders is based on cognitive science theory, and we combine this approach with state-of-the-art clinical neuroscience techniques such as structural and functional MRI, genetics, transcranial direct current stimulation (tDCS), as well as single-pulse and repetitive transcranial magnetic stimulation (TMS). The laboratory studies healthy volunteers as well as a variety of patients with focal and diffuse brain damage. The Cognitive Neuroscience Laboratory is located in the Rehabilitation Institute of Chicago (RIC) on the Northwestern University Medical Center campus in downtown Chicago. The laboratory provides ample opportunity for the development of innovative, focused research and a broad collaborative cognitive neuroscience experience. Required Qualifications: Position qualifications include a PhD in neuroscience, psychology, or a related field. The successful applicant will have expertise in fMRI data acquisition and analysis, strong skills in statistical and experimental methods, and experience in conducting human cognitive neuroscience research. Experience with neuroimaging analysis programs (AFNI, FSL, SPM, or other relevant programs), stimulus presentation programs (E-prime, Presentation, Superlab, Cogent/Psychtoolbox [MATLAB]), and statistical analysis programs (MATLAB, R, SPSS) is also required. Excellent scientific writing skills and strong publication records are highly desired. Applicants should be able to work independently and with minimal supervision, but should also demonstrate good interpersonal skills and a desire to work collaboratively. Salary and benefits are competitive. An earlier start time is possible. Candidates should submit a CV, statement of interest, and three letters of recommendation to Dr. Jordan Grafman (jgrafman(a)northwestern.edu).

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Fwd: Postdoctoral position
by Gary Green 29 Apr '14

29 Apr '14

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 ).

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Fwd: PhD studentship in Psychology / Statistics
by Gary Green 29 Apr '14

29 Apr '14

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.

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Fwd: Postdoctoral position in FMRI of breathlessness / Oxford
by Gary Green 25 Apr '14

25 Apr '14

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

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