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Fwd: Post-doc of two years available on method development
by Gary Green 09 Oct '14

09 Oct '14

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)

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YNiC seminar today
by rem 09 Oct '14

09 Oct '14

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

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Fwd:Postdoc Job in Brisbane, Australia: 7T fMRI
by Gary Green 08 Oct '14

08 Oct '14

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

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Fwd: : job vacancy
by Gary Green 08 Oct '14

08 Oct '14

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>

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Fwd: Re: PhD position in Amsterdam, The Netherlands
by Gary Green 07 Oct '14

07 Oct '14

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>

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Open Plan Availability
by Mark Hymers 07 Oct '14

07 Oct '14

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

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Fwd: Postdoc position in cognitive neuroscience Oldenburg, Germany
by Gary Green 07 Oct '14

07 Oct '14

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

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Fwd: Ernesto Estrada Seminar
by Gary Green 06 Oct '14

06 Oct '14

Dear Colleagues Please see the email below from Edwin Hancock about a seminar on the mathematics of connectivity in a network. Could be very relevant for those of you interested in brain connectivity Gary --------------- Gary Green -------- Original Message -------- Subject: Ernesto Estrada Seminar Date: Thu, 02 Oct 2014 21:42:32 +0100 From: Edwin Hancock <edwin.hancock(a)york.ac.uk> To: Gary Green <gary.green(a)york.ac.uk> Hi Gary, Ernesto is giving a seminar at 1400 on Weds 8th Oct in CS. He is talking about communicability in networks, probably of interest to the Connectivity Club. Lively speaker who is very influential in the complex nets area: http://www.cs.york.ac.uk/research/research-seminars/abstracts2014-15/ Please publicise. E. -- ---------------------------------------------------------` Professor Edwin Hancock D.Sc., FIAPR, FInstP, FIET, FBCS, Royal Society Wolfson Research Merit Award Holder, Professor of Computer Vision and Head CVPR Group, Department of Computer Science, University of York, Deramore Lane, York YO10 5GH, UK. email: erh(a)cs.york.ac.uk URL: http://www.cs.york.ac.uk/~erh UoY Research Portal:http://pure.york.ac.uk/portal/en/edwin.hancock@york.ac.uk Tel: 44 (0) 1904 325497

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YNiC seminar 9th October
by rem 06 Oct '14

06 Oct '14

Dear Users This Thursday (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

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Fwd: Postdoc / RA job ad: structural image analysis for the dHCP - FMRIB, Oxford
by Gary Green 04 Oct '14

04 Oct '14

Postdoc / RA job ad: structural image analysis for the dHCP <https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.jobs…> See https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.jobs… Graduate/Postdoctoral Researcher - Image Analysis and Software for Connections Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, Headington, Oxford Grade 7: £30,434 - £37,394 with a discretionary range to £40,847 p.a. The Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB) seeks a graduate or postdoctoral researcher/programmer to work with Professors Mark Jenkinson and Stephen Smith in the FMRIB Analysis Group. Employment would ideally start in November/December 2014, is fixed-term and funded by the European Research Council for a period of 3 years in the first instance, as part of the Developing Human Connectome Project (dHCP). The dHCP is a collaboration between King’s College, FMRIB and Imperial College and will chart the growth of connections in the human brain, before (in utero) and after birth in 1000 babies using diffusion and functional MRI. The postholder will work on the “structural” aspects of connectome modelling, including the spatial modelling of cortical surfaces, as well as developing analysis pipelines (software development and scripting) for the overall analysis of the dHCP connectome image data. This will also involve porting connectome analysis pipelines from the US-based Human Connectome Project to the dHCP, and interacting with the structural image processing research and informatics that will be carried out at Imperial as part of the dHCP. Candidates should have skills in computer programming (ideally shell scripting, Matlab and C++), and ideally also experience with image analysis research/programming. For an outline of the lab's research interests and links to further information see Research/Analysis Group <http://www.ndcn.ox.ac.uk/research/analysis-group> and FMRIB <http://www.fmrib.ox.ac.uk/>. For more dHCP information (including vacancies in the other dHCP groups) see DevelopingConnectome.org <http://www.developingconnectome.org/>. The closing date for applications is 12.00 noon on 31 October 2014. Contact Person : Vacancy ID : 115362 Contact Phone : Closing Date : 31-Oct-2014 Contact Email : hr(a)ndcn.ox.ac.uk <mailto:hr@ndcn.ox.ac.uk?subject=Graduate/Postdoctoral%20Researcher%20-%20Image%20Analysis%20and%20Software%20for%20Connections>

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