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Fwd: NIH/NIMH Intramural Research Program - Postdoctoral Opportunity

by Gary Green

Dear Colleagues, Please apply and/or bring this postdoctoral opportunity to the attention of your best students and colleagues. Details are below and in the attachment. All best wishes, Karen ________________________________ /Karen Faith Berman, M.D./ Chief, Clinical & Translational Neuroscience Branch Section on Integrative Neuroimaging Psychosis & Cognitive Studies Section National Institutes of Health, NIMH Intramural Research Program 9000 Rockville Pike, MSC 1365 Building 10, Room 3C103A Bethesda, MD 20892-1365 phone: 301/496-7603 fax: 301/480-7795 _karen.berman(a)nih.gov_ <mailto:karen.berman@nih.gov> *_POSTDOCTORAL FELLOWSHIP IN MULTIMODAL NEUROIMAGING_* *SECTION ON INTEGRATIVE NEUROIMAGING* *CLINICAL & TRANSLATIONAL NEUROSCIENCE BRANCH* *NATIONAL INSTITUTE OF MENTAL HEALTH, NIH * *INTRAMURAL RESEARCH PROGRAM, DHHS, BETHESDA, MD* The Section on Integrative Neuroimaging in the Clinical & Translational Neuroscience Branch of the National Institute of Mental Health Intramural Research Program (NIMH IRP), at the National Institutes of Health (NIH), invites outstanding individuals to apply for a two to five year post-doctoral fellowship at one of the premier research sites in the world. The renowned NIH Clinical Center on the 300 acre Bethesda campus of the NIH, near Washington D.C., houses unsurpassed, state-of-the-art neuroimaging facilities (MRI, PET and MEG) all dedicated to research, as well as superb clinical facilities, and an exciting, interactive research community of hundreds of talented colleagues. The strong scientific environment and outstanding resources at NIH make this a unique opportunity for an innovative scientist. The Branch takes a multidisciplinary approach, with multimodal neuroimaging (sMRI, rMRI, fMRI, DTI, PET, MEG) at its core, but also integrates genetic, neurochemical, neuropsychological, and clinical investigations to study normal human higher cognitive function throughout the lifespan, as well as neuropsychiatric disorders such as Williams syndrome and schizophrenia. The successful candidate will have particular leadership opportunities within our longitudinal study of Williams syndrome; will have access to large, unique, archival datasets; and will help to design new studies. The position is open to (1) recent Ph.D.'s in experimental psychology, cognitive neuroscience, neuroscience, neuropharmacology, or other applicable disciplines; and (2) M.D.'s with training in psychiatry, neurology, nuclear medicine, radiology or other relevant fields. Applicants should have a demonstrated record of excellent scientific writing skills as well as excellent interpersonal and presentation skill. In addition, experience with any of the following will be an advantage: developmental/pediatric neuroimaging, multimodal neuroimaging techniques (MRI, PET, MEG), conducting cognitive neuroscience experiments, and/or neuroimaging of clinical populations. Experience with SPM, FSL, Freesurfer, UNIX/LINUX/ and/or programming skills (MATLAB, C++; Python) is desirable, but not required. The position is open immediately and applications will be accepted until the position is filled. A curriculum vitae, letter of interest outlining experience and research goals, and three letters forwarded directly from recommenders should be sent to: Karen Berman, M.D.; C/O Jasmin B. Czarapata, Ph.D.; NIH Building 10, Rm 3C209; 9000 Rockville Pike; Bethesda MD 20892-1365 USA. (301) 435-7645, or electronically to _jasmins(a)mail.nih.gov_ <mailto:jasmins@mail.nih.gov> DHHS and NIH are Equal Opportunity Employers. A FEW REPRESENTATIVE PUBS… Eisenberg DP, Ianni AM, Wei SM, Kohn P, Kolachana B, Apud J, Weinberger DR, Berman KF: Brainderived neurotrophic factor (BDNF) Val66Met polymorphism differentially affects hippocampal function in medication-free patients with schizophrenia. *Molecular Psychiatry*, 18(6):713-720, 2013. Jabbi M, Kippenhan JS, Kohn P, Marenco S, Mervis CB, Morris CA, Meyer-Lindenberg A, Berman KF: The Williams syndrome chromosome 7q11.23 hemideletion confers hypersocial, anxious personality via altered insula structure and function. *Proceedings of the National Academy of Sciences *Apr 3;109(14):E860-6, 2012. Dreher JC, Kohn P, Kolachana B, Weinberger DR and Berman KF: Variation in dopamine genes influences responsivity of the human reward system. *Proceedings of the National Academy of Science* 106: 617-622, 2009. Meyer-Lindenberg A, Hariri A, Munuz KE, Mervis CB, Mattay VS, Morris CA and Berman KF: Neural correlates of genetically abnormal social cognition in Williams syndrome. *Nature Neuroscience *8:991-993, 2005. Kippenhan JS, Olsen RK, Mervis CB, Morris CA, Kohn PD, Meyer-Lindenberg A and Berman KF: Genetic contributions to human gyrification: Sulcal morphometry in Williams syndrome. *Journal of* *Neuroscience *25:7840-7846, 2005. Buchsbaum BR, Olsen RK, Koch PF and Berman KF: Human dorsal and ventral auditory streams subserve rehearsal-based and echoic processes during verbal working memory. *Neuron *48:687-97, 2005. Meyer-Lindenberg A, Mervis CB, Sarpal D, Koch P, Steele S, Kohn P, Marenco S, Morris CA, Das S, Kippenhan JS, Mattay VS, Weinberger DR and Berman KF: Functional, structural and metabolic abnormalities of the hippocampal function in Williams syndrome. Journal of Clinical Investigation 115:1888-1895, 2005. Meyer-Lindenberg A, Kohn PD, Kolachana B, Kippenhan JS, McInerney-Leo A, Nussbaum R, Weinberger DR, and Berman KF: Midbrain dopamine and prefrontal function in humans: Interaction and modulation by COMT genotype. *Nature Neuroscience *8:594-596, 2005. Meyer-Lindenberg A, Kohn P, Mervis CB, Kippenhan JS, Olsen RK, Morris CA, and Berman KF: Neural basis of genetically determined visuospatial construction deficit in Williams syndrome. *Neuron* 43:623-631, 2004. (accompanying commentary: “Fulfilling the Promise of the Cognitive Neurosciences,” *Neuron *43:595-596, 2004) Meyer-Lindenberg A, Miletich RS, Kohn PD, Esposito G, Carson RE, Quarantelli M, Weinberger DR and Berman KF: Reduced prefrontal activity predicts exaggerated striatal dopaminergic function in schizophrenia. *Nature Neuroscience *5:267-271, 2002.

10 years, 8 months

Fwd: Senior Research Associate in Real-Time fMRI

by Gary Green

------------------------------------------------------------------- UCL INSTITUTE OF NEUROLOGY Wellcome Trust Centre for Neuroimaging London, UK Senior Research Associate in Real-Time fMRI -------------------------------------------------------------------- Applications are invited for a Senior Research Associate in the Wellcome Trust Centre for Neuroimaging (WTCN), UCL Institute of Neurology, under the supervision of Professor Nikolaus Weiskopf. The successful candidate will develop and optimize real-time fMRI methods as part of the MRC DPFS project "Improving function in Huntington's disease through neurofeedback: using real-time fMRI to enhance cortical plasticity in early stages of the disease". The post holder will be member of the MRC project team led by internationally leading experts in Huntington's disease and real-time fMRI (Profs. Sarah Tabrizi, Geraint Rees and Nikolaus Weiskopf) and the Physics Group (headed by Prof. Weiskopf) at the WTCN. The post holder will work on methods for improving the data quality of real-time fMRI with emphasis on online correction of motion and physiological noise artifacts. Latest software and hardware solutions will be employed including optical motion tracking for prospective motion correction. Applicants must have a PhD in physics, biomedical engineering, computer science, or a comparable subject. A strong background in MR physics and data analysis is essential, as is strong expertise in programming high-level languages (e.g. C/C++, Matlab), an established publication track record and experience of leading a team of researchers or project management. Applicants must be specialists in at least two of the following areas: Siemens MR scanner operation and software (IDEA, ICE); Optical or prospective motion correction; Physiological noise correction; Pulse sequence programming; Real-time fMRI methods development; functional MRI; SPM or Brainvoyager. The post is available immediately and is funded by a grant from the MRC for eighteen months in the first instance. Starting salary on UCL Grade 8 scale in the range of £41,430 - £48,873 pa including London Allowance, superannuable. You should apply for this post through UCL's online recruitment -- www.ucl.ac.uk/hr/jobs <http://www.ucl.ac.uk/hr/jobs> where you can download a job description and person specification using ref: 1438710. If you have any queries regarding the application process, please contact Samantha Robinson, Personnel Officer, UCL Institute of Neurology, 23 Queen Square, London, WC1N 3BG (email: IoN.HRAdmin(a)ucl.ac.uk <mailto:IoN.HRAdmin@ucl.ac.uk>). *Informal enquiries to Dr Nikolaus Weiskopf (email: **n.weiskopf(a)ucl.ac.uk <mailto:n.weiskopf@ucl.ac.uk>**)*. Further information on the lab: *http://www.fil.ion.ucl.ac.uk/Research/physics.html* ** *Closing date: 3 November 2014* /UCL Taking Action for Equality/ ________________________________ Dr. Martina Callaghan Deputy Head of Physics & Senior Research Associate Wellcome Trust Centre for Neuroimaging Institute of Neurology University College London 12 Queen Square London WC1N 3BG UK Tel: +44-20-344-84383 (internal ext 84383) Email: m.callaghan(a)ucl.ac.uk <mailto:m.callaghan@ucl.ac.uk>

10 years, 8 months

Fwd: Postdoctoral Position in Neuroeconomics, Cognitive Control, and Aging Washington University, St. Louis

by Gary Green

Postdoctoral Position in Neuroeconomics, Cognitive Control, and Aging Washington University, St. Louis Applications are invited for a Postdoctoral Research Fellow position at Washington University in St. Louis, to work on a NIH-funded research project investigating neural and psychological mechanisms involved in economic decision-making in older adults. Research will involve the integration of methods from functional neuroimaging, behavioral economics, and reinforcement learning. A key feature of the project is the use of innovative experimental paradigms that enable discovery of fundamental neural mechanisms involved in economic decision-making, determination of how cognitive control interacts with affective and motivational factors, and how these components and their interaction are impacted by advancing age. The successful applicant will work closely with project PIs Todd Braver (ccpweb.wustl.edu), Leonard Green (http://psych.wustl.edu/lengreen/), and Joel Myerson, and will also have the opportunity to interact with the highly collaborative and inter-disciplinary community at Washington University, St. Louis. We have access to state-of-the-art neuroimaging facilities that include Siemens research-dedicated Skyra and Trio 3T fMRI scanners, as well as the mMR PET-MRI scanner, and behavioral testing facilities with eye-tracking (EyeLink 1000), psychophysiological monitoring (BioPac), and substantial computational infrastructure, including the Center for High-Performance Computing (chpc.wustl.edu). The position will involve participation in all levels of the research investigation. Candidates should have a Ph.D (or about to be awarded one) in psychology, neuroscience, or a related field, with a background that might include, but is not limited to functional neuroimaging, neuroscience of aging, neuroeconomics, or economic decision-making. Substantial experience with fMRI, programming, and statistical analysis is preferred. Additional skills in mathematical modeling and multivariate approaches are desirable. The position is available immediately and applications will be considered until the position is filled. This is a full-time, minimum 2-year position, with competitive salary and benefits commensurate with NIH guidelines. Candidates should send a CV, a statement of research skills and interests, and a list of 3 references to Dr. Todd Braver at tbraver(a)wustl.edu Additional information on this position is available at https://hr.wustl.edu/

10 years, 8 months

Fwd: Post-doc of two years available on method development

by Gary Green

Post-doc of two years available on neuroimaging method development at Alessandro Laio's Lab, SISSA, Trieste (Italy) http://people.sissa.it/~laio/ in collaboration with Carlo Reverberi, Andrea Cherubini, and Daniele Amati. The candidate will have a central role in a project aiming at developing and validating new analysis methods for functional and structural MR neuroimaging. The new methods will exploit a clustering algorithm recently developed by Laio and collaborators. Core Reference: http://www.sciencemag.org/content/344/6191/1492.full Requirements: Degree in physics, informatics, chemistry, engineering or other equivalent. PhD in the same areas or in Neuroscience, or in Cognitive/Behavioral Science. Programming skills: working knowledge in at least one programming language and Unix/Linux. Previous experience in neuroscience and cognitive science will be welcome but it is not strictly necessary. Interested candidates should contact laio(a)sissa.it APPLICATION DEADLINE 4/11/2014 13:00 (Rome time)

10 years, 8 months

YNiC seminar today

by rem

Dear Users This afternoon (from 4 pm in B020) David Watson will be giving a project proposal presentation on "A hypothesis- and data-driven investigation into the role of low-level visual cues in scene processing". Abstract: Human ventral visual cortex has been noted to contain regions showing selectivity for scenes, including the Parahippocampal Place Area (PPA), Retrosplenial Complex (RSC), and Occipital Place Area (OPA). Here we propose two fMRI experiments investigating the role of low-level visual properties in the representation of scenes within such regions. In the first case we propose a hypothesis driven experiment investigating how neural representations of scenes are affected by disruptions to the local statistics of the images. In the second case we aim to measure the neural response to “clusters” of scenes defined using an entirely data-driven approach based upon the relative similarity of their image properties. In both cases multivariate pattern analysis (MVPA) will be used to investigate how such manipulations influence the representation of scenes in the human brain. Everyone is welcome to attend and refreshments will be served afterwards. Best wishes Rebecca -- ************************************************************************ Dr. Rebecca E. Millman Science Liaison Officer York Neuroimaging Centre The Biocentre York Science Park Heslington YO10 5DG Tel: +44 (0) 1904 567614 Fax: +44 (0) 1904 435356

10 years, 8 months

Fwd:Postdoc Job in Brisbane, Australia: 7T fMRI

by Gary Green

Hello all, We have up to 2 postdoc positions available at the Queensland Brain Institute, University of Queensland, Brisbane, Australia, for projects working on our new 7 Tesla MRI scanner for high-resolution functional MRI and for connectivity modelling work. See details below: -+- A/Prof Ross Cunnington, Principal Research Fellow School of Psychology & Queensland Brain Institute University of Queensland, Brisbane, Australia Phone: +61 7 3346 6330 -------------- *The Project* Applications are invited for up to 2 Postdoctoral Research Fellow positions in the Cognitive Neuroscience Laboratory of the Queensland Brain Institute, Brisbane, Australia (www.qbi.uq.edu.au <http://www.qbi.uq.edu.au>). These positions are in the laboratory of A/Prof Ross Cunnington, on projects of the ARC Science of Learning Research Centre (www.slrc.org.au <http://www.slrc.org.au>). Research will involve conducting fMRI studies on the new 7 Tesla Siemens MRI scanner of the University of Queensland, particularly examining subcortical circuits for motor learning, and using connectivity modelling to examine synchrony between people engaged in common tasks. The Postdoctoral Research Fellows will lead in the design and conduct of experiments, complex data analyses, and publication of papers. *The person* Applicants must have a PhD in cognitive neuroscience or a related area and strong research experience in MRI and data modelling. Applicants with strong technical skills and a record of publication in international peer-reviewed journals will be particularly favoured. *Benefits* * *This is a full-time, fixed term appointment at a Research Academic level A. The remuneration package will be in the range AUD$74,625.96 - $80,107.04 p.a., plus employer superannuation contributions of up to 17% (total package will be in the range AUD$87,312.37 - $93,725.24 p.a.) *To Apply* * * Closing date for applications is *23 October 2014*. See the full position description and application details at: http://jobs.uq.edu.au/caw/en/job/496509/postdoctoral-research-fellow

10 years, 8 months

Fwd: : job vacancy

by Gary Green

Hi all, FYI. PhD or Postdoctoral position in SEEG signal processing, Marseille, France。 Please find the detailed information below. All the best, Haiteng Haiteng Jiang PhD candidate Donders Institute for Brain, Cognition and Behaviour Neuronal Oscillations Group Computational Cognitive Neuroscience Lab https://sites.google.com/site/haitengjiang/ ________________________________ From: Christian-G. Bénar [christian.benar(a)univ-amu.fr] Sent: 07 October 2014 16:36 To: megcommunity(a)gmail.com Subject: job vacancy (deadline april 2015) PhD or Postdoctoral position in SEEG signal processing, Marseille, France Institut de Neurosciences des Systèmes, INSERM U1106 We are looking for a candidate (PhD or Postdoc level) to participate in a collaborative project between several research laboratories and industry. The FORCE project (PI P. Kahane, Grenoble) is funded by the Agence Nationale de la Recherche (technology for health care) and aims at investigating high frequency activity as a marker for the epileptogenic zone. The candidate will interact will MDs as well as engineers in order to validate and improve newly developed algorithms. Ideal profile is engineer/physicist/mathematician or neurophysiologist with good knowledge in programming. Contacts: Christian Benar, Eng., PhD, christian.benar(a)univ-amu.fr<mailto:christian.benar@univ-amu.fr> Fabrice Bartolomei, MD, PhD, fabrice.bartolomei(a)ap-hm.fr<UrlBlockedError.aspx>

10 years, 8 months

Fwd: Re: PhD position in Amsterdam, The Netherlands

by Gary Green

Dear all, We are readvertising our ad for a PhD position working with our team at the Department of Psychiatry at the VU University Medical Center in Amsterdam, The Netherlands on projectsemploying advanced computational and statistical methods to evaluate the prognostic value of neuroimaging modalities, biomarker, genetic, environmental and clinical characteristics and their combination to classify the course of depression and anxiety. For details please see below and attached. Please liberally forward to possibly interested candidates or people that might know suitable candidates. Deadline for applications is December 1, 2014. Best wishes, Lianne Schmaal -- Lianne Schmaal, PhD Post-doctoral researcher GGZ inGeest/Department of Psychiatry VU University Medical Center P.O. Box 74077 1070 BB Amsterdam The Netherlands Tel: +31-207884592 email: lianschmaal(a)gmail.com <mailto:lianschmaal@gmail.com>, l.schmaal(a)ggzingeest.nl <mailto:l.schmaal@ggzingeest.nl> ----------------------------------------------------------- *The project* The focus of the proposed PhD project is two-fold; First, the PhD student will will employ advanced computational and statistical methods to evaluate the prognostic value of neuroimaging modalities, biomarker, genetic, environmental and clinical characteristics and their combination to classify the course of depression and anxiety. A second part of the project focuses on employing these methods to disentangle phenotypic heterogeneity of depression by identifying different subtypes based on a rich set of neuroimaging and clinical data and biological protein information, and by exploring the genetic basis of different subtypes and their association with course of depression and treatment response. For these purposes, you will work with data from the Netherlands Study of Depression and Anxiety (www.nesda.nl <http://www.nesda.nl>) in which an extensive battery of detailed longitudinal clinical, biomarker, neuroimaging and genetic data have been collected in a large cohort. You will also work with similar data from other international cohorts, and with data from the MOTAR study (www.motar.nl <http://www.motar.nl>) in which the effects of antidepressant and running treatments are examined. This project will integrate across these data-sources using a variety of methods, including the application of supervised and unsupervised machine learning techniques. You will be involved in the processing of neuroimaging data (structural MRI, functional MRI), associating these data with biomarker, clinical and genetics information and using machine learning methods to classify the patients. You will be working in a multidisciplinary team with young and enthusiastic researchers, who have expertise in psychiatry, genetics, neuroimaging, statistics/engineering and epidemiology. ** *Your challenge * As a PhD Student your main tasks and responsibilites are: * Help examine predictors of the naturalistic course and treatment response in depression and anxiety; * Identifying subtypes of depression and anxiety based on multimodal data sources; * Apply unsupervised and supervised machine learning methods, such as Support Vector Machine and/or probabilistic methods, to genetic, multi-modal neuroimaging, clinical and environmental data from the NESDA study, the MOTAR study and other international cohorts; * Write various scientific papers on the above topics, and complete your research with a PhD thesis. ** *Your profile* We are looking for a highly motivated and enthusiastic researcher with a strong interest in psychopathology who has the following background and experience: * A strong numerate background (i.e. a Master's degree in computer science, mathematics, (medical) informatics or technology, engineering, medical image analysis or related discipline), preferably with emphasis on machine learning, pattern classification, and/or multivariate image analysis; * Experience with neuroimage analysis or with (bio) statistics is desirable; * You have excellent statistical and strong computer programming skills (good command of LINUX, scripting, and Matlab); * You have excellent communications skills in English, both written and verbal; * Having experience in writing (international) publication(s) is a plus. ** *Benefits* Salary Scale: OIO (EUR 2.200 in the first year that increases to EUR 2.818 gross per month in the fourth year, based on 36 hours per week). We also offer a set 8.3% end-of-year bonus and 8% holiday pay. For more information about our fringe benefits, please visit http://www.werkenbijvumc.nl/vumc/arbeidsvoorwaarden/ (Dutch version). The PhD position is for four years, you will start with a contract for 12 months. ** *Additional information* The Department of Psychiatry of the VU University Medical Center (VUMC) and GGZ inGeest collaborately conduct research, education and academic patient care. The main focus is on depression and anxiety disorders, two common psychiatric disorders with high public health impact. Psychiatric research is embedded in two VU research institutes: EMGO+ and Neuroscience Campus Amsterdam. In this research area more than 150 persons from different disciplines (e.g. psychiatry, psychology, health science) collaborate. ** *Interested?* For more information about position or the application procedure you can contact Dr. Lianne Schmaal, via telephone number: +31(0)20 – 788 4592 or email: l.schmaal(a)ggzingeest.nl <mailto:l.schmaal@ggzingeest.nl>. Please submit your candidacy by latest December 1, 2014 by emailing your CV and motivation letter to Dr. Lianne Schmaal: l.schmaal(a)ggzingeest.nl <mailto:l.schmaal@ggzingeest.nl> On 26 August 2014 15:21, lianne schmaal <lianschmaal(a)gmail.com <mailto:lianschmaal@gmail.com>> wrote: Dear all, We are seeking talented candidates for a PhD position working with our team at the Department of Psychiatry at the VU University Medical Center in Amsterdam, The Netherlands. For details please see below. Please liberally forward to possibly interested candidates. Deadline for applications is September 7, 2014. Best wishes, Lianne Schmaal ----------------------------------------------------------- *The project* The focus of the proposed PhD project is two-fold; First, the PhD student will will employ advanced computational and statistical methods to evaluate the prognostic value of neuroimaging modalities, biomarker, genetic, environmental and clinical characteristics and their combination to classify the course of depression and anxiety. A second part of the project focuses on employing these methods to disentangle phenotypic heterogeneity of depression by identifying different subtypes based on a rich set of neuroimaging and clinical data and biological protein information, and by exploring the genetic basis of different subtypes and their association with course of depression and treatment response. For these purposes, you will work with data from the Netherlands Study of Depression and Anxiety (_www.nesda.nl_ <http://www.nesda.nl>) in which an extensive battery of detailed longitudinal clinical, biomarker, neuroimaging and genetic data have been collected in a large cohort. You will also work with similar data from other international cohorts, and with data from the MOTAR study (_www.motar.nl_ <http://www.motar.nl>) in which the effects of antidepressant and running treatments are examined. This project will integrate across these data-sources using a variety of methods, including the application of supervised and unsupervised machine learning techniques. You will be involved in the processing of neuroimaging data (structural MRI, functional MRI), associating these data with biomarker, clinical and genetics information and using machine learning methods to classify the patients. You will be working in a multidisciplinary team with young and enthusiastic researchers, who have expertise in psychiatry, genetics, neuroimaging, statistics/engineering and epidemiology. *Your challenge * As a PhD Student your main tasks and responsibilites are: • Help examine predictors of the naturalistic course and treatment response in depression and anxiety; • Identifying subtypes of depression and anxiety based on multimodal data sources; • Apply unsupervised and supervised machine learning methods, such as Support Vector Machine and/or probabilistic methods, to genetic, multi-modal neuroimaging, clinical and environmental data from the NESDA study, the MOTAR study and other international cohorts; • Write various scientific papers on the above topics, and complete your research with a PhD thesis. *Your profile* We are looking for a highly motivated and enthusiastic researcher with a strong interest in psychopathology who has the following background and experience: • A strong numerate background (i.e. a Master's degree in computer science, mathematics, engineering, medical image analysis or related discipline), preferably with emphasis on machine learning, pattern classification, and/or multivariate image analysis; • Experience with neuroimage analysis or with (bio) statistics is desirable; • You have excellent statistical and strong computer programming skills (good command of LINUX, scripting, and Matlab); • You have excellent communications skills in English, both written and verbal; • Having experience in writing (international) publication(s) is a plus. *Benefits* Salary Scale: OIO (EUR 2.200 in the first year that increases to EUR 2.818 gross per month in the fourth year, based on 36 hours per week). We also offer a set 8.3% end-of-year bonus and 8% holiday pay. For more information about our fringe benefits, please visit _http://www.werkenbijvumc.nl/vumc/arbeidsvoorwaarden/_ (Dutch version). The PhD position is for four years, you will start with a contract for 12 months. *Additional information* The Department of Psychiatry of the VU University Medical Center (VUMC) and GGZ inGeest collaborately conduct research, education and academic patient care. The main focus is on depression and anxiety disorders, two common psychiatric disorders with high public health impact. Psychiatric research is embedded in two VU research institutes: EMGO+ and Neuroscience Campus Amsterdam. In this research area more than 150 persons from different disciplines (e.g. psychiatry, psychology, health science) collaborate. *Interested?* For more information you can contact dr. Lianne Schmaal, via telephone number: +31(0)20 – 788 4592 <tel:%2B31%280%2920%20%E2%80%93%20788%204592>. For more information about the application procedure you can contact mr. Wessel Haytink, recruiter, via telephone number: +31(0)6 – 1066 7718. Please submit your candidacy by latest *September 7, 2014* with reference number D2.2014.00077WH via the following link: _http://bit.ly/PhDMachineLearning_ ----------------------------------------------------------- -- Lianne Schmaal, PhD GGZ inGeest/Department of Psychiatry VU University Medical Center P.O. Box 74077 1070 BB Amsterdam The Netherlands Tel: +31-207884592 <tel:%2B31-207884592> email: lianschmaal(a)gmail.com <mailto:lianschmaal@gmail.com>, l.schmaal(a)ggzingeest.nl <mailto:l.schmaal@ggzingeest.nl>

10 years, 8 months

Open Plan Availability

by Mark Hymers

Hi, Due to MSc Cognitive Neuroscience induction sessions, YNiC Open Plan will be unavailable for users on: * Wednesday 8th October (Tomorrow) 1000-1200 * Wednesday 22nd October 1000-1200 Most MSc teaching at YNiC happens in the Spring term - we'll send around more details of these times once they are finalised. Thanks, Mark -- Mark Hymers, York Neuroimaging Centre Please note that my email address is: mark.hymers(a)ynic.york.ac.uk Responses to messages sent to other addresses may be delayed

10 years, 8 months

Fwd: Postdoc position in cognitive neuroscience Oldenburg, Germany

by Gary Green

We, the Neuropsychology lab at the University of Oldenburg/ Germany (head: Stefan Debener) are offering a 2-year postdoc position. For more details please follow the link: http://www.uni-oldenburg.de/stellen/?stelle=63733 Best, Conny

10 years, 8 months

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