Dear Users
This Friday (starting 1.30 pm in YNiC open plan) there will be a talk by
Steve Engel, University of Minnesota, on "Plasticity, and its limits, in
the adult visual system: Contrast adaptation from 4 minutes to 4 days"
http://www.psych.umn.edu/engellab/
Abstract: Experience with the environment dramatically influences how we
act, think, and perceive; understanding the neural plasticity that
supports such change is a long-standing goal in cognitive neuroscience.
In the visual system, neural function alters dramatically as people
adapt to changes in their visual world, such as increases or decreases
in brightness or clarity. Most past work on visual adaptation, however,
has altered visual input only over the short-term, typically a few
minutes. I will present a series of experiments that investigate
adaptation over a much longer term. My laboratory recently developed
“altered reality” technology that allows subjects to live in, and adapt
to, experimentally manipulated visual worlds for hours and days at a
time. Subjects viewed the world through virtual reality goggles that
display video acquired from a head mounted camera, processed in real
time on a laptop computer. In order to characterize long-term visual
plasticity, we used image manipulations that targeted early visual
cortex, and measured adaptation with perceptual tests. Effects of
adaptation grew stronger and longer-lasting as the adapting duration
extended from minutes to hours to days. The long term adaptation was
behaviourally distinguishable from shorter term adaptation, suggesting
that it is controlled by novel neural mechanisms. These controllers may
allow vision to perform near optimally in an ever-changing world.
Everyone is welcome to attend.
N.B. This Friday afternoon talk is a one-off; YNiC seminars will
continue on Thursdays from 4.30 pm.
Best wishes
Rebecca
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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
A postdoctoral position on translational neuroimaging is available at
the Center for Biomedical Image Computing and Analytics, University of
Pennsylvania (http://www.cbica.upenn.edu). The successful candidate
must have background on and interest in using neuroimaging to solve
clinical neuroscience problems. The position will entail involvement in
various structural and functional neuroimaging studies utilizing
advanced image analysis. CBICA is a dynamically growing medical image
computing center, involving several laboratories and many collaborators
from diverse fields. Please e-mail CV's to
christos(a)rad.upenn.edu
**
**
Christos Davatzikos, Ph.D.
Wallace T. Miller Sr. Professor of Radiology
and Electrical and Systems Engineering,
Director, Center for Biomedical Image Computing and Analytics
http://www.cbica.upenn.edu
Director, Section of Biomedical Image Analysis
http://www.rad.upenn.edu/sbia
Joint Affiliations: Bioengineering and Applied Math graduate groups
University of Pennsylvania
3600 Market street, Suite 380
Tel.: 215-349-8587
Email: christos(a)rad.upenn.edu
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Position open for an NIH funded study on development of imaging
biomarkers based on DTI in Spinal Cord. The research will be performed
on a wide bore Siemens 3T Verio scanner. Recent Ph.D graduates or
candidates about to finish their doctoral thesis in Biomedical, Computer
and or Electrical engineering or related fields are encouraged to apply.
Significant knowledge in neuroimaging particularly in diffusion imaging
is required. Programming experience in Matlab, C/C++ or similar
platforms is a plus. Good communication skills are required. If
interested please send CV to feroze(a)temple.edu <mailto:feroze@temple.edu>
Feroze B. Mohamed, Ph.D.
Functional Brain Imaging Center (TUMRIC)
Temple University, Philadelphia, Pennsylvania.
A postdoctoral position is currently available at the New York State
Psychiatric Institute and Columbia University. Candidates must have
completed a PhD in cognitive neuroscience, biomedical engineering,
electrical engineering, computer science, or a related field. Research
focuses on translational neuroimaging, multimodal MRI techniques, and
attentional disorders in children and young adults.
Requirements include:
a) PhD in cognitive neuroscience, biomedical engineering, electrical
engineering, computer science, or related fields.
b) Computer programming skills (e.g., C/C++, Python, MATLAB)
c) Facility in operating one or more common neuroimaging packages
(e.g., AFNI, FSL, or SPM)
Applicants should email their CV to:
jep2111(a)columbia.edu
Jonathan Posner, MD
Assistant Professor of Clinical Psychiatry
Division of Child and Adolescent Psychiatry
Columbia University
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Postdoc in Model-Based fMRI
Within the Technische Universität Dresden, the Section of Systems Neuroscience is closely associated with the Department of Psychology and the Neuroimaging Center, which offers excellent research collaborations and infrastructure, e.g. a 3 Tesla MRI scanner for full-time research, MRI-compatible EEG and eye tracking, and access to the PET center at Dresden-Rossendorf.
Our international and multidisciplinary group conducts basic research in neuroscience at the inter-face to clinical applications. We investigate the function of neural systems that are involved in ele-mentary cognitive processes such as emotion, motivation, learning, executive function, or decision making. In order to better understand neural mechanisms underlying mental disorders, we investi-gate how these processes contribute to the complex behavioral dysfunctions observed, for example, in addictive behavior.
Within a new collaborative research centre on “Volition and Cognitive Control: Mechanisms, Modulators, and Dysfunctions” (www.sfb940.de) we are seeking a postdoc for a project on “Dopaminergic and Serotonergic Modulation of Meta-Control Parameters”. The position is limited till 30.06.2016. This project aims to investigate the effects of neuromodulatory pathways on elementary cognitive processes such as reward processing, different facets of learning and decision making. For this purpose functional and molecular neuroimaging (MRI and PET), neuropharmacological interventions and genetics will be combined.
The successful candidate will be involved in implementing experimental protocols, processing of behavioral and MRI data (e.g. by using computational modeling) and improving methods in the field of pharmacological MRI and model-based fMRI analysis. Furthermore, the successful candidate is expected to undertake project management duties including supervision of PhD students, data management, and publication of the results. Moreover, the position offers the possibility for further scientific qualification (i.e., Habilitation).
Requirements:
• Doctoral degree (Ph.D.) in any scientific field of study with a strong curriculum in cognitive neuroscience (i.e., psychology, neuroinformatics, mathematics, medicine)
• Substantial hands-on experience in the field of neuroimaging, including knowledge of com-mon software packages (e.g. SPM or FSL, Freesurfer, Matlab, Python, Presentation, Psych-Toolbox)
• Expertise in computational modeling (e.g., Rescorla-Wagner, Hidden Markov, Bayesian inference methods) of imaging data
The ideal candidate would additionally be characterized by:
• Sharing our passion to push the limits in understanding the brain
• Keen interest in experimental approaches to study complex human behavior
• Strong publication record
We offer you the possibility of:
• Working in an interdisciplinary team contributing to our understanding of the brain with the particular skills that you already have and will further develop
• Being part of the structured program of our CRC
• Arranging for flexible working hours to find a balance between work and family life
• Providing for the future in the form of a company pension plan
Women are explicitly invited to apply. Disabled persons will be preferred in case of equal qualification.
Interested applicants should send their online application with the reference number PSY0913527 until October 06, 2013 to systems.neuroscience(a)tu-dresden.de. Please submit a full CV, transcript of records, statement of research interest (max. 2 pages), and names and contact information for two or three referees. For more information about the position please contact us via email or telephone (+49 351 46342201).
Postdoctoral Position in Computational Neuroscience
Within the Technische Universität Dresden, the Section of Systems Neuroscience (http://psychiatrie.uniklinikum-dresden.de/) is closely associated with the collaborative research centre on “Volition and Cognitive Control: Mechanisms, Modulators, and Dysfunctions” (www.sfb940.de), the Department of Psychology and the Neuroimaging Center, which offers excellent research collaborations and infrastructure, e.g. a 3 Tesla MRI scanner for full-time research, MRI-compatible EEG and eye tracking, and access to the PET center at Dresden-Rossendorf.
Our international and multidisciplinary group conducts basic research in neuroscience at the inter-face to clinical applications. We investigate the function of neural systems that are involved in ele-mentary cognitive processes such as emotion, motivation, learning, executive function, or decision making. In order to better understand neural mechanisms underlying mental disorders, we investi-gate how these processes contribute to the complex behavioral dysfunctions observed, for example, in addictive behavior.
To further strengthen our lab, we are seeking for a postdoc in Computational Neuroscience. The position is limited till 30.06.2016. The successful candidate will be an independent researcher with proven record in quantitative modeling of complex data with strong organizational and team-work abilities. Previous experience in brain imaging is not required, but highly useful. The optimal candi-date will be in charge of processing behavioral and MRI data (e.g. by using model-based fMRI) and developing new and improving existing methods in the field of computational neuroscience and model-based fMRI analysis. Furthermore, the successful candidate is expected to instruct and supervise PhD students and postdocs. In addition, the position offers the possibility for further scientific qualification (i.e., Habilitation).
Requirements:
• Doctoral degree (Ph.D.) in any scientific field of study with a strong quantitative background (e.g., mathematics, informatics, statistics, computational neuroscience, biomedical engineering)
• Keen interest in experimental approaches to study complex human behavior
• Expertise in computational modeling of behavioral and/or imaging data (e.g., Bayesian inference methods and statistics, hidden Markov modeling, machine learning, reinforcement and temporal difference learning, connectivity analyses).
The ideal candidate would additionally be characterized by:
• Sharing our passion to push the limits in understanding the brain
• Substantial hands-on experience in the field of neuroimaging, including knowledge of com-mon software packages (e.g. SPM or FSL, Freesurfer, Matlab, Python, Presentation, Psych-Toolbox)
• Strong publication record
We offer you the possibility of:
• Working in an interdisciplinary team contributing to our understanding of the brain with the particular skills that you already have and will further develop
• Arranging for flexible working hours to find a balance between work and family life
• Providing for the future in the form of a company pension plan
Women are explicitly invited to apply. Disabled persons will be preferred in case of equal qualification.
Interested applicants should send their online application with the reference number PSY0913528 until October 06, 2013 to systems.neuroscience(a)tu-dresden.de. Please submit a full CV, transcript of records, statement of research interest (max. 2 pages), and names and contact information for two or three referees. For more information about the position please contact us via email or telephone (+49 351 46342201).
Applications are invited for a Laboratory of Brain Imaging (LOBI). The primary objective of this position is to manage the MRI Brain Imaging Core Facility, within the newly constructed Neurobiology Center and to perform research using structural and functional magnetic resonance imaging, electroencephalography (EEG) and transcranial magnetic stimulation (TMS). LOBI is equipped with 3T scanner, MR compatible 64-channel EEG system and TMS
Requirements for candidates are:
• PhD degree (or equivalent) in science, biological sciences or technological sciences
• documented experience in structural and functional brain imaging knowledge and ability to use software for MRI data analysis (for e.g. SPM, FSL, AFNI)
• outstanding publication record
• experience in team management
• experience in the management and implementation of research projects
• be highly motivated (demonstrated via joint publications, references of the candidate' s thesis tutor, previous post-doctoral positions different from the PhD awarding institutions),
• be proficient in English
• preferred knowledge of EEG and TMS techniques
Admission:
The application should contain the following documents/information:
• CV
• Letter-of-intent
• 2 letters of reference
• Copy of PhD diploma (or equivalent)
• Contact information, including e-mail address and phone number
• The candidates may include additional information or copies of documents/certificates in support of the application.
Job details Job #166881
http://www.fens.org/jobs/?position=group%20leader&status=valid&limit=10&act…
Group Leader in Warsaw/Poland
Closing date: 2013-09-30
Employment start date: - the start date wasn't set
Contract length: 5 years
Institution: Nencki Institute of Experimental Biology Polish Academy of Sciences, Warsaw, Poland
Department: Laboratory of Brain Imaging
Contact Information
Urszula Dziewulska
Nencki Institute of Experimental Biology Polish Academy of Sciences, Warsaw, Poland
Pasteur 3
02-093 Warsaw
Poland
Phone:
Fax:
E-mail: u.dziewulska(a)nencki.gov.pl
Website: http://www.nencki.gov.pl
Hi,
I am looking to hire talented postdocs to develop novel image analysis
and machine learning algorithms for the Human Connectome Project data.
This is my research webpage: https://sites.google.com/site/yeoyeo02/.
See more information below.
Regards,
Thomas
Requirements: Ph.D. in computer science, electrical engineering,
statistics or related fields. Candidates should have previously
published research in image processing or statistical analysis,
preferably in biomedical applications.
Compensation: Competitive and commensurate with experience
Institutes: Perform ground-breaking research at the National
University of Singapore (NUS), while enjoying the beautiful sceneries
and cultures of South-East Asia. NUS is a research-intensive
university consistently ranked among the top 30 universities in the
world (http://en.wikipedia.org/wiki/National_University_of_Singapore#University_ra…).
Successful candidates may be required to travel between Singapore and
the U.S. for certain projects.
Contact: Interested candidates should email Thomas
(ythomas(a)csail.mit.edu) with CV and/or questions. To apply, please
send cover letter, CV and names/contact information of 3 people who
can provide letters of reference.
Hi,
I am looking to recruit talented students to develop novel image
analysis and machine learning algorithms for the Human Connectome
Project data.
This is my research webpage: https://sites.google.com/site/yeoyeo02/.
See more information below.
Regards,
Thomas
Application Deadline: Nov 1st, 2013 in order to start in Fall 2014
Requirements: Bachelor's or Master's degree in computer science,
electrical engineering, statistics or related fields. Ideal candidates
should be highly motivated, and have research experience and/or
excellent grades.
Compensation: Graduate Student Fellowship
Institutes: Perform ground-breaking research at the National
University of Singapore (NUS), while enjoying the beautiful sceneries
and cultures of South-East Asia. NUS is a research-intensive
university consistently ranked among the top 30 universities in the
world (http://en.wikipedia.org/wiki/National_University_of_Singapore#University_ra…).
Successful candidates may be required to travel between Singapore and
the U.S. for certain projects.
Contact: Interested candidates should email Thomas
(ythomas(a)csail.mit.edu) with CV and/or questions.
The University Clinic Leipzig offers two positions in Cognitive
Neuroscience:
1 PhD position
and
1 PostDoc position.
The offered PhD position is available from 1st January 2014. The PostDoc
position is immediately available. Both positions are for one year
initially and can be extended until end of 2016.
Both positions are linked to a neuroscientific project of the CRC (SFB
1052) “Obesity Mechanisms” at the University Clinic Leipzig. As members
of an interdisciplinary research group, candidates develop an
experimental software for real-time functional magnetic resonance
imaging (rt-fMRI) and neurofeedback which they will apply to modulate
eating behavior in obese individuals.
Successful candidates ...
• ... have a background in fMRI or EEG and cognitive neuroscience
• ... have excellent computer programming skills
Salary is paid according to German TV-ÖD (salary agreement for public
service employees).
Further information:
PD. Dr. Burkhard Pleger⋅ +49 (0)163 9190 215 ⋅ bpleger(a)cbs.mpg.de
Email applications should include a CV, a complete list of publications
and theses (as far as applicable), a brief statement of research
experiences and interests, the addresses of two possible referees.
