ynic-users

ynic-users@ynic.york.ac.uk

1 participants
2795 discussions

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>

1 0

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>

1 0

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

1 0

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

1 0

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

1 0

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

1 0

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>

1 0

Fwd: Post Doc position
by Gary Green 04 Oct '14

04 Oct '14

The University of Southern California Imaging Genetics Center (http://igc.ini.usc.edu) - part of the Institute for Neuroimaging and Informatics - in Marina del Rey, California is looking for a talented postdoctoral researcher with experience in neuroimaging. Duties will focus on analyzing existing MRI scans to investigate how growth factors, inflammation, and genetic variants relate to brain structure and function, particularly in regions vulnerable to Alzheimer’s disease. The successful applicant will have a Ph.D. or equivalent in bioengineering, neuroscience, or a related field. An excellent publication record, solid experience analyzing MRI data, and a working knowledge of FSL, Freesurfer (or similar software), Matlab, and Unix are strongly preferred. Experience with brain aging research is desirable. To apply or to gain more information, please e-mail Dr. Meredith Braskie (meredith.braskie(a)ini.usc.edu) with your cover letter and CV.

1 0

Fwd: 2 POSTDOCTORAL positions (& 1 IMAGING ANALYST position) open for neuroimaging of nonhuman primate development at Emory University
by Gary Green 04 Oct '14

04 Oct '14

·*_Two Postdoctoral positions for Neuroimaging of Brain Development in nonhuman primates at Emory University_**:* Two postdoctoral positions are opened at Emory University (Yerkes National Primate Research Center –YNPRC- and Dept. of Psychiatry) to do developmental Neuroimaging research in rhesus monkeys. Studies involve analyses of typical and atypical brain development of infant rhesus monkeys living in social groups at the YNPRC as part of two different projects: - “Stress and obesity synergize to impair neurobehavioral development in females” (RO1 HD077623-01). /Goal of this project:/ To examine the synergistic effects of social stress and obesity on neural and behavioral development of female rhesus monkeys, from birth through puberty. -“Emory Autism Center of Excellence: “Mechanisms of Risk and Resilience in Autism Spectrum Disorder: Ontogeny, Phylogeny and Gene Disruption. Project 5” (P50 MH100029). /Goal of Project 5:/ To examine development of nonhuman primate social neural circuits of relevance to Autism Spectrum Disorder(ASD)-related social deficits. Both postdoctoral positions are to participate in prospective, longitudinal studies of development of neural circuits involved in social and emotional regulation and stress reactivity in macaques, using neuroimaging approaches (structural MRI, diffusion tensor imaging –DTI- and resting state functional MRI). __ _Requirements_: PhD in Neuroscience, and/or background in Biomedical Engineering, Psychology, Computer Science. Experience with neuroimaging techniques (resting state functional MRI and/or Diffusion Tensor Imaging –DTI-) is required, preferably applied to study nonhuman primate brain. Additional knowledge of macaque neuroanatomy and development is preferred. Experience using FSL and related programs; strong computational and programming skills (e.g. in Matlab, Unix command line scripting, C++, Python); independence; previous experience and interest in projects involving multidisciplinary and inter-institutional collaborations. __ _Materials needed_: CV, Summary of Research Interests and three letters of recommendation. __ _Contact information_: If interested, please submit these materials to: Mar Sanchez, Ph.D. Associate Professor Dept. of Psychiatry & Behavioral Sciences School of Medicine and Affiliate Scientist Yerkes National Primate Research Center Emory University mmsanch(a)emory.edu <mailto:mmsanch@emory.edu> ** ·*_One Research Specialist position (IMAGING ANALYST) is open at Emory University:_* A full-time *_Imaging Analyst_*__position is opened at Emory University (Yerkes National Primate Research Center –YNPRC- and Dept. of Psychiatry) to do developmental Neuroimaging research in nonhuman primates. The position involves processing and analysis of brain imaging data, including structural MRI, diffusion tensor imaging (DTI) and resting state functional MRI datasets. The position involves participation in prospective, longitudinal studies of development of neural circuits involved in social and emotional regulation and stress reactivity in macaques, using those neuroimaging modalities. _Requirements_: Bachelor’s degree in a scientific discipline (including Biomedical Engineering or Computer Science). Background in brain imaging data processing and analysis, as well as programming and computational skills. Experience with brain imaging methods (resting state functional MRI and/or Diffusion Tensor Imaging –DTI-) is preferred. Additional knowledge in Neuroscience and development is valuable. Experience using FSL and related programs; strong computational and programming skills (e.g. coding in Matlab, Unix command line scripting, C++, Python). _Materials needed_: CV and three letters of recommendation. The position is open immediately. _Contact information_: If interested, please submit these materials to: Mar Sanchez, Ph.D. Associate Professor Dept. of Psychiatry & Behavioral Sciences School of Medicine and Affiliate Scientist Yerkes National Primate Research Center Emory University mmsanch(a)emory.edu <mailto:mmsanch@emory.edu> ------------------------------------------------------------------------ This e-mail message (including any attachments) is for the sole use of the intended recipient(s) and may contain confidential and privileged information. If the reader of this message is not the intended recipient, you are hereby notified that any dissemination, distribution or copying of this message (including any attachments) is strictly prohibited. If you have received this message in error, please contact the sender by reply e-mail message and destroy all copies of the original message (including attachments).

1 0

Fwd: Position for a Research Technologist at Wayne State University
by Gary Green 04 Oct '14

04 Oct '14

*A full-time Research Technologist is needed to support the research data collection, analysis, management and computing infrastructure in Dr. Christine Rabinak’s Translational Neuropsychopharmacology Laboratory in the Department of Pharmacy Practice.* Specific responsibilities include: * Oversee data collection and management (e.g., neuroimaging, electrophysiology, psychophysiology, etc). * Identify technical and security requirements, maintain data quality standards, validate methods, and resolve issues. * Ensure compliance with industry and University standards for system design, network access, data security and protection of human participant confidentiality; * Contribute to the development of improved computational methods and visualization protocols, manuscript writing and grant development in collaboration with Dr. Rabinak and collaborators. * Develop and maintain data processing pipelines for functional and structural magnetic resonance imaging, electroencepholography/event-related potential, psychophysiological experiments, including automation of data management, administrative and standardized tasks. * Statistical analysis of research data. * Train research assistants, students, and other related staff in research techniques and analysis. * Assist in writing grants, manuscripts, and protocols to obtain funding to support research endeavors. * Work in partnership with the college IT department to maintain servers and data storage and of ordering computer equipment and software. Required Qualifications: * Bachelor’s degree in computer science, engineering, psychology, neuroscience, or a related field. * Strong scripting or programming experience in one or more of the following: MATLAB, Python, C. * Thorough knowledge of basic and research computing systems, including data storage and management, and system and data back-up. * Proven skills in performing tasks with continuous attention to accuracy, safety and productivity. * Excellent communication skills and a positive customer service orientation with all levels of users. Desired Qualifications: * Experience supporting/developing informatics systems in biological or research environments preferred. * Expertise in statistics, neuroimaging processing, or neuroscience preferred. * Ability to make a minimum 2-3 year commitment. *Click to apply.* <https://jobs.wayne.edu/applicants/jsp/shared/position/JobDetails_css.jsp?po…> Questions can be directed to Dr. Rabinak: rabinak(a)wayne.edu <mailto:rabinak@wayne.edu>

1 0

Jump to page:

2025

2024

2023

2022

2021

2020

2019

2018

2017

2016

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006

ynic-users