A Position is open for a Laboratory Manager at the Magnetic Resonance
Imaging Center at the Department of Radiology in Temple University
located in Philadelphia, Pennsylvania. Candidates with a Master’s degree
in a field related to Neuroimaging/Bioengineering/Electrical
Engineering, or bachelor’s degree with 2 years’ experience in MR imaging
are encouraged to apply for this position. Significant knowledge in
neuroimaging particularly in BOLD/diffusion imaging is required. Strong
programming experience in Matlab, C/C++ or similar platforms, SPM, FSL,
Brain Voyager will be a plus. Good communication skills, documentation
and managerial skills are required.
*Interested candidates please contact:*
Feroze B. Mohamed, Ph.D. (*feroze(a)temple.edu* <mailto:feroze@temple.edu>)
*Postdoctoral fellowship in model-based fMRI of psychiatric disorders*
The lab of Prof. Tiago V. Maia is seeking a postdoctoral fellow to
conduct research on model-based fMRI of psychiatric disorders. The lab
is located in the School of Medicine of the University of Lisbon
(Portugal). There may also be opportunities to spend time at the
Department of Psychiatry of Columbia University (USA), where Prof. Maia
also has a faculty appointment.
Research in the lab focuses on using fMRI, neurocomputational models,
and behavioral experimentation to understand the neural bases of
cognition and emotion and the disruption of these processes in
psychiatric disorders. Additional information, including a list of
publications, is available on Prof. Maia's web page:
http://childpsych.columbia.edu/brainimaging/CV_maia.html
Talented candidates from any background will be considered, but
preference will be given to candidates with expertise in one or more of
the following areas: fMRI, computational neuroscience, and/or behavioral
experimentation.
Funding is available immediately for a project investigating
reinforcement learning in Tourette syndrome using a combination of
computational modeling and fMRI ('model-based fMRI'). The successful
candidate would also have opportunities to work on other projects.
Candidates should send a CV and a letter describing their research
interests to MaiaT(a)nyspi.columbia.edu. Reference letters are preferred
but optional at this stage.
The University of Cambridge, Department of Clinical Neurosciences are
looking to recruit a senior research associate* to join the Stroke
Research Team. You will play a central role in establishing and
developing a major programme of stroke MRI research at Cambridge which
focuses particularly on the imaging of patients with ischaemic white
matter disease.
You will be integrally involved setting up a number of new MRI
projects, and also will have access to large existing multimodal MRI
datasets which provide an excellent resource for developing novel image
analysis techniques and correlating MRI markers with cognitive and
clinical parameters.
In addition to supervising clinical fellows, other staff involved with
image analysis and PhD students, you will be encouraged to develop your
own areas of research within stroke imaging and to apply for grants in
these areas.
You will have a PhD in a relevant area and experience in MR image
analysis which
ideally should involve brain imaging. Individuals with previous MR
experience outside stroke are encouraged to apply and training can be
given in the clinical aspects relating to stroke.
*NB: The status of Senior Research Associate is awarded on the basis of
individual merit and may be awarded to the successful candidate if
approved by the Faculty Board of the Cambridge School of Clinical Medicine.
For Further Particulars and details on how to apply please go to the
University’s job opportunities page : : http://www.jobs.cam.ac.uk/job/1820/
The CMRR at the University of Minnesota seeks to recruit two additional
postdoctoral associates to join the WashU-UMinn Human Connectome Project
(HCP). The postholder will be actively working in the component of the
HCP that focuses on optimization of data acquisitions and data analysis
for resting state and task induced fMRI (R/T-fMRI), and diffusion
imaging for high angular resolution diffusion imaging (HARDI), with
different subject populations. Responsibililties include: Data
acquisition and optimization at 3T and 7T, testing, debugging and
optimization at 3T and 7T, evaluating the performance with the RF coils
that will be developed within the HCP project, provide feedback and
evaluations on RF coil performance, and provide feedback regarding
resting state and diffusion data pre-processing.
More information can be found at :
https://employment.umn.edu/applicants/jsp/shared/position/JobDetails_css.js…
(requisition number 187166)
Hi Everyone
As some of you may be aware we will hold a workshop at YNIC focused on
resting fMRI on the 10th of October. The purpose of this workshop will be
to familiarise attendees with the techniques and applications of resting
state both as a powerful tool for realising brain structure and function,
but also to consider its applications for understanding the mind.
Everyone is welcome and there is no cost to attend. See attached flyer for
further details.
Looking forward to seeing you all there. Please forward to people you think
maybe interested.
Jonny
Hi,
I am xiaoqian, the new phd student working with andy young.
I would like to attend the ynic seminar, so would you please add me to the mailing list?
Many thanks,
xiaoqian
Hi Everyone,
Next week I am hosting the external speaker next week. I will be taking Dr
Margulies out for dinner after the talk to continue discussions on the work
he presented, to as yet unknown venue. Daniel is great fun to hangout with,
so if anyone would like to come along please let me know and I will include
you in the plans.
Jonny
Please read the attached concerning a workshop about resting state
networks in the brain
October 10th at YNiC
All welcome
Gary
--
Gary Green
Director
York Neuroimaging Centre
The Biocentre
York Science Park
Innovation Way
Heslington
York
YO10 5NY
http://www.ynic.york.ac.ukhttps://www.ynic.york.ac.uk/about-us/people/ggrg
tel. +44 (0) 1904 435349
PA - Claire Fox : +44 (0) 1904 435329
fax +44 (0) 1904 435356
mobile +44 (0) 788 191 3004
*Postdoc Position in Modelling Functional Whole Brain Connectivity from
fMRI*
*
*
DTU Compute, Technical University of Denmark would like to invite
applications for a 1-year Post Doc position starting as early as 1
November 2013, with possibility for an extension to two years.
*Project Description*
Functional magnetic resonance imaging (fMRI) has become a key
non-invasive brain imaging technique used to quantify the functional
connectivity of the brain. While this imaging modality can be used to
derive connectivity estimates inferring the global patterns of
functional connectivity at the whole brain level poses an important
modeling challenge.
The main goal of this project is to develop and apply tools for the
modeling of whole brain functional connectivity based on fMRI data. Key
components in the project include fMRI data processing and connectivity
analysis using Bayesian modeling approaches. The project will be based
on current work on non-parametric Bayesian models of brain connectivity
and will be part of a larger project “Non-parametric Relational
Modelling of Functional and Structural Brain Connectivity” funded by the
Lundbeck Foundation (2012-2017) aiming at inferring whole brain
connectivity from fMRI and diffusion MRI data.
*Qualifications*
Candidates must have a PhD degree in engineering or equivalent academic
qualifications. Experience in multivariate modeling approaches for
neuroimaging data in general and fMRI data in particular is a definite
advantage. Proficiency programming in Matlab and using fMRI neuroimaging
software is also important while the applicant is expected to have a
basic knowledge about the human brain. Excellent communication skills in
English are essential.
*We offer*
We offer an interesting and challenging job in an international
environment focusing on education, research, public-sector consultancy
and innovation, which contribute to enhancing the economy and improving
social welfare. We strive for academic excellence, collegial respect and
freedom tempered by responsibility. The Technical University of Denmark
(DTU) is a leading technical university in northern Europe and
benchmarks with the best universities in the world.
*Salary and terms of appointment*
The appointment will be based on the collective agreement with the
Confederation of Professional Associations. The allowance will be agreed
with the relevant union.
*Further Information*
Further information concerning the available position can be obtained
from Associate Professor Morten Mørup <mailto:mm@imm.dtu.dk> at Section
for Cognitive Systems, DTU Compute, Technical University of Denmark or
Senior Researcher Kristoffer Hougaard Madsen
<mailto:kristofferm@drcmr.dk>at Danish Research Centre for Magnetic
Resonance, Centre for Functional and Diagnostic Imaging and Research,
Copenhagen University Hospital Hvidovre.
*Application procedure:
*Please submit your online application no later than *20 October 2013*.
Applications must be submitted as *one PDF file *containing all
materials to be given consideration. To apply, please visit
http://www.compute.dtu.dk/english/about_us/vacant_jobs/a58fd704-92b0-495c-a…
and open the link "Apply online”, fill in the online application form,
and attach *all your materials in English in one PDF file*. The file
must include:
·Application (cover letter)
·CV
·Diploma
·List of publications
Applications and enclosures received after the deadline will not be
considered.
All interested candidates irrespective of age, gender, disability, race,
religion or ethnic background are encouraged to apply.
/DTU Compute conducts research and education in the fields of
mathematical modelling and computer science. The expanding mass of
information and the increasingly complex use of advanced technology in
society demand development of advanced computer based mathematical
models and calculations. The unique competences of the institute are in
demand in IT innovation and production.
DTU is a technical university providing internationally leading
research, education, innovation and public service. Our staff of 5,000
advance science and technology to create innovative solutions that meet
the demands of society; and our 9,000 students are educated to address
the technological challenges of the future. DTU is an independent
academic university collaborating globally with business, industry,
government, and public agencies./
UCL Institute of Neurology, Wellcome Trust Centre for Neuroimaging
PhD Studentship: A framework for tracking changes in MRI data of the
spinal cord and brain.
Applications are invited for a PhD studentship at the Wellcome Trust
Centre for Neuroimaging (WTCN) under the supervision of Prof. John
Ashburner and in collaboration with the Spinal Cord Injury Center,
University of Zurich. The anticipated start date is 1^st Nov, 2013.
Project
The work will involve developing computing frameworks to address both of
the following challenges:
*Atlas of the head and neck.* Develop a framework for learning tissue
probability atlases from large datasets of MRI scans. The primary aim
will be to extend our existing brain image segmentation approach [1]
(released with our Statistical Parametric Mapping software – SPM
-http://www.fil.ion.ucl.ac.uk/spm) to use atlas data from both head and
neck. This would allow clinicians to more easily analyse MRI data of
patients with neurological diseases involving the spinal cord. The
framework should generalise to MRI scans of all body parts, both human
and non-human. The project may require some parts of a relatively small
number of scans to be manually segmented, with the aim of generalising
these segmentations to other scans.
*Longitudinal change modelling.* Anatomical MRI scans of the head and
neck, collected at a number of time points following a spinal incidence
such as trauma, allow atrophy rates to be determined via longitudinal
image registration procedures. Image registration essentially forms a
generative model of the underlying atrophy [2], described by a set of
differential equations. The project will involve developing a more
realistic longitudinal model of atrophy (and possible recovery) for data
containing data from more than two time points. This may involve
parameterising longitudinal changes in terms of both rates of change (ie
velocity) and its acceleration or deceleration.
[1] Ashburner, J & KJ Friston (2005). /Unified segmentation/. NeuroImage
26(3):839–851.
[2] Ashburner J & GR Ridgway (2013). /Symmetric diffeomorphic modeling
of longitudinal structural MRI/. Frontiers in neuroscience 6.
Environment
The student will be tightly integrated in our world-leading lab at UCL,
primarily supervised by Prof. Ashburner. The student will have the
opportunity to attend UCL courses in relevant subject areas, as well as
to interact with students and postdoctoral researchers from other
departments.
Funding
The studentship is funded for 3 years (1^st Nov, 2013 – 31^st Oct, 2016)
and will cover UK/EU university tuition fees and an annual stipend of
£18,000 (tax free). Note that overseas candidates (i.e., non EU/UK) can
only be considered if they provide formal proof, at the time of
application, of a scholarship which funds the additional overseas
tuition fees.
Person specification
*
At least a 2:1 BSc in a mathematical subject (or equivalent
EU/overseas degree), but ideally an outstanding MSc in a related area.
*
Strong analytical/mathematical skills, ideally with some knowledge
of Bayesian modelling approaches.
*
Programming experience, preferably high proficiency in MATLAB and
C/C++.
*
An interest in medical image processing, and a desire to learn more.
*
Good communication skills - especially in written English.
*
A strong work ethic, with the ability to think creatively and work
independently.
Duties and Responsibilities
*
Develop models for MR images under the direction of Prof. Ashburner.
*
Implement and maintain the software arising from the PhD work.
*
Work in collaboration with clinical researchers and MR physicists,
who will help guide the project and who may need some training in
making use of the PhD work.
*
Prepare progress reports on research as required.
*
Prepare manuscripts for submission to peer-reviewed journals.
*
Prepare presentations, including text and images, for delivery by
self and others.
*
Travel for training, collaboration and other meetings or conferences.
*
Contribute to the overall activities of the research team and
department as required.
*
Maintain an awareness and observation of Fire and Health and
Safety Regulations at UCL and other facilities to be visited.
Actively follow UCL policies including Equal Opportunities and
Race Equality policies.
Informal enquiries
Please email Prof. John Ashburner for further information about the
project (j.ashburner(a)ucl.ac.uk <mailto:j.ashburner@ucl.ac.uk>).
Application procedures
Application is by CV and covering letter (including motivation for
applying) emailed to ion.educationunit(a)ucl.ac.uk
<mailto:ion.educationunit@ucl.ac.uk>. Candidates short-listed for
interview will be required to give a short research presentation. Please
put “WTCN Spine Studentship” in the subject line.
Closing Date: 14^th October, 2013
This is from a new senior research leader within the University of York.
---------------------------
Postdoctoral Research Associate – University of York____
The Stockholm Environment Institute, York (SEI-Y) is seeking to employ a
Research Associate for a UK Research Council funded project called
/Mobility, Mood and Place: a user-centred approach to design of built
environments to make mobility easy, enjoyable and meaningful for older
people. /The project is led by the University of Edinburgh in
collaboration with the Universities of York, Heriot Watt and King’s
College London. ____
You will be required to work with mobile Electroencephalography (EEG)
– combining a Global Positioning System (GPS) recorder with an EEG
‘Neuroheadset’ - to explore how environmental affect (or mood of place)
affects older people’s (65+) judgments, actions and mobility in the
built environment. The role requires a track record in designing,
conducting and interpreting EEG data to make rigorous inferences about
cognitive and emotional states arising from movement in specific
settings. Statistical expertise in managing complex data sets is
required, together with experience in software/hardware for human
behaviour research.____
The link for the University of York Research Associate Post is:____
https://jobs.york.ac.uk/wd/plsql/wd_portal.show_job?p_web_site_id=3885&p_we…
__ Please contact Dr Jenny Roe for further information:
jenny.roe(a)york.ac.uk <mailto:jenny.roe@york.ac.uk>
--
Dr Jenny Roe
Senior Research Leader
Stockholm Environment Institute
University of York
YO10 5DD
Tel: 01904 323480
email: jenny.roe(a)york.ac.uk <mailto:jenny.roe@york.ac.uk>
web: http://www.york.ac.uk/sei/staff/jenny-roe/
--------------------------------
The Max Planck Institute for Human Cognitive and Brain Sciences in
Leipzig, Germany, Department of Social Neuroscience led by Prof. Dr.
Tania Singer invites applications for three different postdoc positons.
More information can be found below and online here:
www.cbs.mpg.de/depts/singer/vacant/
*1)
Research Group Leader (W2) within the Department of Social Neuroscience
or Senior Postdoc position *
We seek talented, dynamic, independent, and motivated scientists early
in their career to fill an independent W2-MPRGL position or senior
postdoc position and have the ambition to work in the field of social
and cognitive neurosciences (e.g., social cognition, emotions,
neuroplasticity). Such a position is highly prestigious and comes with
generous core funding, so that research initiatives can get started
right away.
The successful candidate has 2-4 years’ research experience as a
postdoctoral fellow and has an extensive expertise in structural and
functional MRI (preferably with SPM, Matlab) and behavioral analyses.
He/she will be involved in all areas of the departmental research
program as well as be part of a longitudinal study investigating the
effects of affective and cognitive mental training on neural plasticity,
health, subjective well-being, and behavior (see
www.resourc-project.org). Knowledge of other neuroscientific methods
(e.g., multivariate pattern analysis (MVPA), rt-fMRI, DTI, TMS/tDCS)
would be advantageous. Moreover, we expect the candidate to supervise
doctoral students independently. He/she should have an outstanding
scientific track record with clear evidence of leadership and other
scholarly promises in the form of high-impact publications and other
achievements. The position is primarily devoted to research, with no
teaching, and minimal administrative duties.
*
2)
Postdoc in Cognitive & Social Neuroscience, Motivation Psychology and
Neuroeconomics*
The position has been created within the framework of a new project
funded by the Institute for New Economic Thinking (INET;
http://ineteconomics.org). The cooperation will consist of a small group
of four researchers under the supervision of Prof. Dr. Tania Singer and
Prof. Dr. Dennis J. Snower.
The research of this group aims to provide a broader understanding of
how motivation influences economic decision making, with a view to
exploring the opportunities for cooperation in addressing public goods
problems. To this end, the group will combine empirical research methods
from psychology and neurosciences (focusing on motivation, social
cognition and emotion) with behavioral economics methods (based on game
theoretical paradigms), computational models, as well as neuroscientific
approaches (e.g., fMRI, TMS). This research is expected to provide
evidence that can be used to generate models of economic decision making
that are based on human biology and psychology. More information can be
found here: www.caring-economics.org
The successful candidate has a solid education in behavioral economics
(game-theoretical paradigms) and/or neuro-economic methods (MRI)
combined with knowledge and strong interest in motivational psychology
and/or social affective neurosciences (including pharmacological
interventions such as oxytocin, cortisol, etc.). Knowledge of
computational neuroscience would be advantageous. He/she also shows
evidence of scholarly promise in the form of publications in high-impact
journals and other achievements. The position is primarily devoted to
research, with no teaching and minimal administrative duties.
*
3) Postdoc in Biopsychology*
The successful candidate will be primarily involved in the analyses of a
huge battery of different bio-psychological data from a large-scale and
unique longitudinal study, the ReSource Project
(www.resource-project.org), investigating the effects of affective and
cognitive mental training on neural plasticity, stress- and
health-related markers, subjective well-being, social and cognitive
functioning and behavior.
The successful candidate has finished their PhD and may already have
held a postdoctoral position, and they show evidence of high scholarly
promise in the form of publications and other academic achievements.
He/she has expertise in endocrinology, immunology, (epi-)genetics, and
the corresponding psychophysiological paradigms.
--
Prof. Dr. Tania Singer
Director
Max Planck Institute for Human Cognitive and Brain Sciences
Department of Social Neuroscience
Stephanstr. 1a
04103 Leipzig, Germany
Tel. +49 341 9940 2686
Email: singer(a)cbs.mpg.de
Web: http://www.cbs.mpg.de/singer
A postdoctoral position is currently available at Columbia University
and the New York State Psychiatric Institute. 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 <mailto:jep2111@columbia.edu>
--
Jonathan Posner, MD
Assistant Professor of Clinical Psychiatry
Columbia University
212-543-2533 phone
314-271-2446 fax
All information sent within this communication is confidential. If you
are not the intended recipient, please discard immediately.
A postdoctoral position is available in the Hamilton lab at UCL to study
human social interaction using fMRI. The project is funded by an ERC
grant and will involve using virtual reality tools to examine brain and
cognitive systems for the control and detection of imitation.
Closing date: 23rd October
The full advert is here:
http://www.jobs.ac.uk/job/AHI475/research-associate-in-social-neuroscience/
More background is on the lab website at
www.antoniahamilton.com <http://www.antoniahamilton.com>
Do email me (a.hamilton(a)ucl.ac.uk <mailto:a.hamilton@ucl.ac.uk>) with
any questions.
PhD Scholarship available Brain Signal Analysis using EEG
Research Theme : This project aims to perform analysis on EEG (Electroencephalography) data to investigate mental fatigue. More generally, we aim to find an indicator for the identification of brain states (i.e. fatigue, non-fatigue) using novel methods. It might have a wide range of applications (i.e. military, sports and medical applications).
Key words : EEG, time-frequency analysis, phase synchrony, machine learning, pattern recognition, general linear model
Location : University of Kent at Medway, UK (40-50 mins from London by train)
Supervisor : Dr. Caroline Ling Li
Co-supervisors : Prof. Samuele Marcora, Prof. Howard Bowman
Funding
Three-year PhD scholarship is available to UK, EU and overseas students and will cover home tuition fees plus a maintenance grant equivalent to the full UK Research Council rate.
Criteria
Applicant must have a good first degree or good Master's level degree. Ideally at Master level with relevant research experience. Strong programming or/and math skill is preferred. Previous research experience leading to publications would be an advantage.
How to apply
Send covering letter and CV together with contacts of two referees to c.li(a)kent.ac.uk<mailto:c.li@kent.ac.uk>, including contact detail, research interest and your suitability for this award. Please also include experience, if any, of academic or professional research; experience, if any, of teaching or mentoring.
You must also complete the online form for making a formal application for a PhD (Doctor of Philosophy Research) in Computer Science at the University of Kent via
http://www.kent.ac.uk/courses/postgrad/apply/index.html
Successful candidate will be based at Medway Campus. Information about Medway Campus can be found here: http://www.kent.ac.uk/locations/medway/campus/index.html
For more information, please go to: http://www.cs.kent.ac.uk/people/staff/cl339 or contact c.li(a)kent.ac.uk<mailto:c.li@kent.ac.uk>
Kent provides a dynamic and challenging academic environment and has an excellent reputation for collaborative research with universities around the world. For more information about Kent's research portfolio see: www.kent.ac.uk/pg<http://www.kent.ac.uk/pg>
====================================================================================
Caroline Li (Ph.D)| Lecturer |School of Computing |University of Kent
Founder of Brain|Cognition|Computing Lab
M-318, Medway Building, University of Kent, Chatham, ME4 4AG
Tel: +44(0)1634 202987 | Mobile: +44 (0) 79355 75488 | Skype: llwelcome921
Web: http://www.cs.kent.ac.uk/people/staff/cl339/index.html | E-Mail : c.li(a)kent.ac.uk<mailto:c.li@kent.ac.uk>
====================================================================================
Dear Users
Steve Engel's talk will now be held in B020 in the Department of
Psychology on Friday 27th starting at 1.30 pm.
Please see below for talk details.
This Friday (starting 1.30 pm in *B020*) 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
--
************************************************************************
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
--
************************************************************************
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
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
--
************************************************************************
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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please notify us immediately by e-mail, and delete the original message.
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.