I am sure you all know this, but it only dawned on the ynic team today
that Monday the 6th is a Bank Holiday.
YNiC will, therefore, be closed on Monday
Sorry for any inconvenience
Gary
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Gary Green
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. Claire Fox : +44 (0) 1904 435329
Claire,Fox(a)ynic.york.ac.uk
fax +44 (0) 1904 435356
mobile +44 (0) 788 191 3004
Dear Users
This Thursday (YNiC open plan from 4.30 pm) there will be an internal
project proposal presentation by Amie Hayes on "How is viewpoint
represented in face-selective regions of the human brain?".
Abstract: The perception of faces is a simple and effortless process for
most human observers. However, the apparent ease with which recognition
takes place belies its inherent complexities. For example, when the head
moves, the image on the retina also changes. To be useful, the visual
system must take into account these sources of variation to facilitate
recognition, but at the same time be able to detect changeable aspects
of faces that are important in social communication. The aim of this
study is to ask how information about the viewpoint of the face is
represented in different face-selective regions of the human brain.
Using MVPA, I will investigate the reliability of patterns of response
to faces with different viewpoints.
Everyone is welcome to attend and refreshments will be provided afterwards.
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
Our group conducts a longitudinal study, Growing Up in Singapore Towards
Healthy Outcomes (GUSTO), in children from birth onwards. GUSTO aims 1)
to establish neurodevelopmental assessments that include multi-modal
neuroimaging techniques, electrophysiology, and cognitive-emotional
evaluations at multiple time points from birth onwards; 2) to
investigate normal brain development from birth onwards and its
relationship with cognitive development; 3) genetic and epigenetic
regulation on brain development.
We seek a postdoctoral fellow who is interested in integrating
multi-modal magnetic resonance brain images with genetic and epigenetic
information for the investigation of genetic and epigenetic regulations
on brain development from infancy onwards. We offer high salary with
medical and other benefits.
*_Requirements:_*
·Ph. D or MD
·Research background in the neuroimaging field
·Data mining on high dimensional data
·Good communication and writing skills in English language
If you are interested in the jobs listed above, please send your CV to
Dr. Anqi QIU
Department of Bioengineering
National University of Singapore
Email: bieqa(a)nus.edu.sg <mailto:bieqa@nus.edu.sg>
Phone: +(65) 6516 7002
NEUROIMAGING RESEARCH ASSOCIATE The La Timone MRI centre of the Institut
des Neurosciences de La Timone in Marseille opens a 30-month
Neuroimaging Engineer position in cerebral fMRI analysis. The Centre
operates a 3 Tesla MR system fully dedicated to neuroscience and
psychology research in human and non-human primates and equipped with
high-end stimulation and recording systems. The post holder will have
for mission to assist the user community with basic and advanced
analysis of cerebral MRI data (functional and structural). The
successful candidate will have experience in neuroimaging, strong
programming skills and a desire to help and interact with the community.
Full details in the attachment.
See also: _http://irmfmrs.free.fr/_.
Information requests and applications should be addressed to
_Jean-Luc.Anton(a)univ-amu.fr <mailto:Jean-Luc.Anton@univ-amu.fr>_,
_Patricia.Romaiguere(a)univ-amu.fr
<mailto:Patricia.Romaiguiere@univ-amu.fr>_, _Pascal.Belin(a)univ-amu.fr
<mailto:Pascal.Belin@univ-amu.fr>_.
Application closing date: May 15th, 2013.
--
Patricia Romaiguère
Laboratoire de Neurosciences Intégratives et Adaptatives
Fédération de Recherche Comportement, Cerveau, Cognition
Université d'Aix-Marseille - Case B
3, Place Victor Hugo
13331 Marseille cedex 3
Tél : 04 13 55 08 40
Fax : 04 13 55 08 44
A postdoctoral position on PET/MRI data analysis is available in IDEA
lab (https://www.med.unc.edu/bric/ideagroup), UNC-Chapel Hill, NC.
The successful candidate should have a strong background on Electrical
or Biomedical Engineering, or Computer Science, preferably with emphasis
on sparse learning, super-resolution, and data fusion. Experience on
image feature learning, selection, integration and prediction is highly
desirable. People with machine learning background on sparse
representation and regression are particularly encouraged to apply.
Strong knowledge on programming (good command of LINUX, C and C++,
scripting, and Matlab) are desirable. The research topic will be the
development and validation of image processing methods for integrating
PET and MRI for data enhancement and resolution improvement.
The successful candidates will be part of a diverse group including
radiologists, psychologists, physicists, biostatistician, and computer
scientists, and will build upon the group's previous work on medical
image analysis. If interested, please email resume to Dr. Dinggang Shen
(dgshen(a)med.unc.edu <mailto:dgshen@med.unc.edu>).
Applications are invited for a Ph.D. student position at the Center for Behavioral Brain Sciences (CBBS) and Otto-von-Guericke-University of Magdeburg, Germany.
Research in the lab is centred on the neural mechanisms of adaptive, goal-directed behaviour with a particular focus on reward-guided learning and decision making. We will use various neuroimaging methods (fMRI, MEG, EEG, TMS) in combination with pharmacological challenges and computational modelling approaches.
A candidate is sought that is highly motivated, reliable and able to work independently. The successful applicant will have an MSc or equivalent degree (or be currently working towards one) in neuroscience or a related field (biology, psychology, physics, computer science, engineering). Experience in acquisition and analysis of MEG or EEG data (in particular time frequency analyses) and good knowledge of MATLAB, as well as good communication skills (written and orally) are essential. Additional skills in fMRI would be desirable. Applicants should have an interest in formal models of neural activity and behaviour.
Application deadline is 10th May 2013, but applications will be considered until the position is filled.
For more details on the position and application procedure, please follow this link:
http://www.uni-magdeburg.de/unimagdeburg_media/Stellenausschreibungen/2013/…
Seeking postdoctoral fellow or assistant professor to play lead role in
funded high-impact study to identify the neuro-circuitry underlying
differential abilities in pattern-recognition in humans. This study
investigates why some people are optimal pattern detectors (good at
detecting signal within chaotic environments), while others are
suboptimal, either because they don't see patterns that do exist, or
because they do see patterns that don't exist. This work has widespread
applications, from understanding what makes for a good intelligence
officer or emergency room physician, to gaining insight into the process
by which individuals become susceptible to delusions or conspiracy
theories.
The study will move beyond conventional statistical (GLM) methods,
toward control systems engineering models that combine clinical (human)
neuroimaging (fMRI, MEG, EEG, NIRS) and computational modeling.
Therefore, candidates should have strong quantitative skills.
Study will be conducted at Stony Brook University Department of
Biomedical Engineering (Stony Brook NY) and/or the Harvard University
Martinos Center for Biomedical Imaging (Charlestown, MA). Hire at either
the Postdoctoral, Senior Postdoctoral, or Assistant Professor level;
title and salary commensurate with experience. Minimum two-year
contract, with start date July 1, 2013.
Candidates should have a strong background in fMRI, cognitive
neuroscience, control systems, and programming (MatLab or python).
In order to be considered, candidates should have a doctorate and a
demonstrated record of productivity, the latter of which includes
high-quality first-author neuroimaging publications in peer-reviewed
journals.
Please send letter explaining why you are interested in the position, cv
and contact information for three references, to: Dr. LR Mujica-Parodi
(lilianne.strey(a)stonybrook.edu <mailto:lilianne.strey@stonybrook.edu>)
Information about the laboratory can be obtained from our website:
www.lcneuro.org <http://www.lcneuro.org/>
The information in this e-mail is intended only for the person to whom it is
addressed. If you believe this e-mail was sent to you in error and the
e-mail
contains patient information, please contact the Partners Compliance
HelpLine at
http://www.partners.org/complianceline . If the e-mail was sent to you
in error
but does not contain patient information, please contact the sender and
properly
dispose of the e-mail.
On behalf of Dr Jessica Dubois
*************************
The team of “brain development imaging” (Gif-sur-Yvette, France) offers
a 2-year post-doctoral position from September 2013, on the study of
cortical and white matter maturation in infants using complementary
multi-modal imaging methods. The team research is focused on the
cerebral bases of cognitive functions in healthy babies and on the
relationships between functional development and the anatomical
maturation of cerebral networks with emphasis on language and vision.
The team has performed pioneer works on language perception with
functional MRI (Dehaene-Lambertz et al, Science 2002), on correlations
between white matter development and its functional efficiency
(respectively assessed by diffusion tensor imaging DTI and event-related
potentials; Dubois et al, J. Neuroscience 2008), and on cortical
maturation (Leroy el al, J. Neuroscience 2011).
The post-doctoral candidate will integrate this research topic,
combining anatomical MRI, DTI, mappings of T1 and T2 relaxation times
and EEG in healthy infants to assess the structural and functional
organization of the developing brain. Applicants should possess solid
technical background in imaging techniques (MRI, EEG, MEG) and in
post-processing tools or in signal processing and computational science.
Knowledge (or at least a strong interest) in human cognition and brain
development would be appreciated. Applications should be sent to Jessica
Dubois (_jessica.dubois(a)cea.fr <mailto:jessica.dubois@cea.fr>_) and
Ghislaine Dehaene-Lambertz (_ghislaine.dehaene(a)cea.fr
<mailto:ghislaine.dehaene@cea.fr>_).
The Cognitive Neuroimaging Unit (INSERM-CEA U992) is implemented in the
NeuroSpin centre, localized in the suburb of Paris. This centre gathers
varied research laboratories on cognitive neuroscience, biophysics,
imaging and post-processing methodologies, etc. The platform is
organized around non-invasive techniques which are particularly suitable
for imaging infants and children (3T MRI, “mock MRI scanner”, EEG and
MEG installations).
Lab website: _www.unicog.org <http://www.unicog.org/>_ tab “Kid’s lab”
NeuroSpin website:
_http://www-dsv.cea.fr/en/institutes/institute-of-biomedical-imaging-i2bm/departments/neurospin-neurospin_
/This is an announcement for 1 of 2 postdoctoral fellows at the
University of Warwick in Neuroimaging Meta-Analysis. A second posting
will be announced shortly./
https://secure.admin.warwick.ac.uk/webjobs/jobs/research/job10265.html
*Research Fellow*
*Department Of Statistics*
*Fixed Term Contract for Three Years*
Applications are invited for a Research Fellow position with Dr. Thomas
Nichols in the Department of Statistics. You will be part of Dr.
Nichols' newly awarded Wellcome Trust Senior Research Fellowship in
Basic Biomedical Science, a project titled "Transforming Statistical
Methodology for Neuroimaging Meta-Analysis".
The use of meta-analysis in functional brain imaging is rapidly growing
as the discipline has matured and a large and diverse literature has
become available. The methodological challenges in this area are
immense, as only a tiny fraction of the full image data is reported in
published papers and what is reported is subject to a variety of
selection biases. You will develop spatial models for neuroimaging
meta-analysis data, to deliver fully spatial and reverse inferences
through an accurate generative statistical model. These models will be
extended to detect and accommodate inter-study variability, producing a
"neuroimaging meta-regression" framework. They will also work on
procedures for estimating and correcting publication and thresholding
biases, defining measures that allow unbiased estimates of neuroimaging
effect sizes to be obtained from published studies.
You will have a PhD or equivalent and a strong statistical background,
ideally in developing neuroimaging analysis methods for FMRI and other
modalities, high-dimensional modelling experience will be advantageous.
Relevant experience in other areas of Engineering/Applied Mathematics,
Statistics, Computer Science and Physics would be considered. You will
be able to demonstrate excellence in published work in relevant fields
and will have the ability to develop and deliver high-quality research
and to publish in peer-reviewed journals.
This post will be supervised by Dr. Nichols and will be expected to work
with the various faculty, staff and students involved in Neuroimaging
Statistics at the Department of Statistics and at the Institute for
Digital Healthcare in the Warwick Manufacturing Group, as well as
international collaborators including Dr. Timothy Johnson at the
University of Michigan and Dr. Tor Wager at the University of Colorado.
The project will last up to 5 years; this post will in the first
instance be offered for the first 3 years of the project, and could
potentially be renewed. Information on the Department's research
activities can be found here:
http://www.warwick.ac.uk/statistics/staff/academic-research.
Informal enquires can be addressed to Dr. Nichols
(t.e.nichols(a)warwick.ac.uk <mailto:t.e.nichols@warwick.ac.uk>). General
information on the Department can also be obtained from the following
webpage: http://warwick.ac.uk/stats.
Please would all applicants ensure that their referees send a letter of
reference by email to Paula.Matthews(a)warwick.ac.uk
<mailto:Paula.Matthews@warwick.ac.uk> (Department Administrator) by the
closing date.
Please note that this is a full-time post however part-time hours would
be considered.
[[See this link for more information:
https://secure.admin.warwick.ac.uk/webjobs/jobs/research/job10265.html ]]
The link will take you to register/login to our applicant tracking
system before you can complete the application form. You will be given
the chance to upload a CV and up to one supporting document during the
application process. You can save a partially completed form without
submitting it as long as you return to complete it before the closing
date. Minicom users can call 024 7615 0554 if they require any further help.
Please quote job vacancy reference number 72896-043.
The closing date/time for applications is midnight (British time) at the
end of Wednesday 22 May 2013.
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__________________________________________________________
Thomas Nichols, PhD
Principal Research Fellow, Head of Neuroimaging Statistics
Department of Statistics & Warwick Manufacturing Group
University of Warwick, Coventry CV4 7AL, United Kingdom
Web: http://go.warwick.ac.uk/tenichols
Email: t.e.nichols(a)warwick.ac.uk <mailto:t.e.nichols@warwick.ac.uk>
Phone, Stats: +44 24761 51086, WMG: +44 24761 50752
Fax: +44 24 7652 4532
