*A fulltime Postdoc position is available at the FE Klinische
Funktionelle Bildgebung (Group Leader: Univ.-Prof. Dr. H. Boecker) at
the Dept. of Radiology (Director: Univ.-Prof. Dr. H. Schild), University
of Bonn Medical School, Germany.*
Salary will be according to the German salary scale TV-L E13.
The position (38,5 h/week) is available by February, 1st 2014 and is
limited for a period of three years. The position is announced as a
dedicated research position in the area of magnetic resonance imaging
and / or positron emission tomography systems neurosciences.
We seek for a dedicated scientist with a post graduate diploma (e.g.
biology, psychology, neurosciences, etc.) and prior scientific
experiences in the field of functional neuroimaging, in particular
analysis of multimodal imaging data (including e.g. uni- and
multivariate analysis approaches, discriminative classification
algorithms, etc.). Neuroscientific interests converging with the
scientific focus of the research group (motor control, sensori-motor
processing, pain processing, neurodegenerative diseases) are desirable.
The University of Bonn is an equal opportunities employer. Preference
will be given to suitably qualified women or persons with disabilities,
all other considerations being equal.
Applicants are requested to submit their standard documents (CV,
certificates, publication lists, max. 10 reprints) until December *31st
2013 *to
*Prof. Dr. med. Henning Boecker*
*FE Klinische Funktionelle Neurobildgebung Experimentelle Radiologie*
*Radiologische Universitätsklinik *
*Bonn Sigmund-Freud-Str. 25*
*53127 Bonn*
*Tel.: +49 (0)228 287 - 15970 (Sekretariat) *
*Tel.: +49 (0)228 287 - 15980 (Büro) *
*Fax: +49 (0)228 287 - 14457*
*Email: Henning.Boecker(a)ukb.uni-bonn.de*/(See attached file:
WissMA_Rad_Boecker.pdf)/
The Stanford Cognitive and Systems Neuroscience Laboratory
(http://cosyne.stanford.edu) invites applications for a postdoctoral
fellowship in developmental cognitive neuroscience and learning
disabilities research. The lab provides a unique multidisciplinary and
collaborative environment for conducting research on brain and cognitive
development. The fellow will participate in ongoing studies of cognitive
training and brain plasticity in children, with a focus on numerical
cognition, reasoning and problem solving in typically developing
children and in children with learning disabilities. The fellow will be
expected to develop a vigorous research program that contributes to, and
complements, ongoing research studies. The fellow will have access to
state-of-the-art brain imaging, computational and cognitive testing
facilities, and training in advanced computational techniques for MRI,
fMRI, and DTI analysis will be provided. Candidates are expected to have
a strong research background in relevant areas of cognitive neuroscience
and psychology, as well as excellent writing, communication and
inter-personal skills. Candidates should hold a Ph.D. in psychology,
neuroscience, cognitive science or a closely related discipline.
Please email a CV, statement of research interests and relevant
background, and request three letters to be emailed in confidence to Ms.
Suzanna Chan at suzannachan(a)stanford.edu.
We are looking to fill a postdoctoral position in early 2014 to study
neuroimaging in motor neuron disorders in the intramural program of the
National Institute of Neurological Disorders and Stroke (NINDS) at the
National Institutes of Health in Bethesda, Maryland, USA.
Our group has been working on identifying imaging biomarkers for
progression of degeneration in motor neuron disease. We utilize several
MRI modalities including diffusion tensor imaging, volumetric analysis,
and functional magnetic resonance imaging. We recently began a
longitudinal study of persons with a genetic mutation that can cause
amyotrophic lateral sclerosis (ALS) or frontotemporal dementia (FTD).
Quantitative MRI imaging is used to explore and document progression.
Within this study, there will be opportunities to develop individual
exploratory imaging projects. All MRI studies are carried out in the NMR
center, a dedicated research facility at the NIH.
To be eligible for this position, you must be within 5 years of
receiving your doctoral degree (MD or PhD). Applicants must have
excellent communication skills, and an ability to work in a team as well
as independently. A variety of imaging analysis programs are used in the
lab, some of which use Linux or Matlab command line language. Experience
in quantitative magnetic resonance imaging analysis methods or relevant
fields is a plus. The initial appointment will be for 2 years, with the
possibility of extension. Salary will follow the NIH guidelines for
intramural research training awards
(www.training.nih.gov/programs/postdoc_irp<http://www.training.nih.gov/programs/postdoc_irp>).
If you are interested, please send a letter and your c.v. to Dr. Mary
Kay Floeter, floeterm(a)ninds.nih.gov<mailto:floeterm@ninds.nih.gov>
******************************************
Mary Kay Floeter MD PhD
Senior Clinician, OCD, NINDS, NIH
Bld 10 CRC Room 6-5742
Bethesda MD 20892-1404
floeterm(a)mail.nih.gov<mailto:floeterm@mail.nih.gov>
ph 301-496-7428
fax 301-402-8796
Dear All
This afternoon (YNiC open plan, 4.15 pm start) Prof. Gary Green will be
giving a talk on "Connectivity maps based on linear and non-linear
dynamics".
Abstract:
Many methods have been used to provide evidence of the existence of a
connection from one brain area to another. The evidence can be from
structural investigations such as DTI and histology or from functional
investigations using techniques such as Granger Causality, coherence or
other non-causal methods. These tell us that connections exist but they
do not necessarily provide evidence of the form of the interaction both
in terms of direction, the nature of the processing or the dynamics of
the connection.
Two 'new' approaches to investigating the dynamics of connectivity
will be presented. These are the Adomian Decomposition method and the
Fliess Generating Series method. Both are highly related and are based
on functional expansions of non-linear differential models of the brain.
The can be used with standard ODEs, but can also be used with PDEs,
delay-differential and stochastics models
Both can be used to compare and eshew models, to fit models to data
and to test if existing models are supported by experiment. In passing
we show that SPM's DCM approach may suffer from highly correlated
posteriors.
The approaches are causal and can inform us about directionality,
the timing of connections as well as the level and form of
linear/non-linear processing. We have implemented them in a
simple-to-use set of modules in Python.
MEG data from a reading task will be used to demonstrate the
techniques and to show evidence that brain areas are
causally,directionally connected, on different time scales during this
task.
Everyone is welcome to attend.
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
Hi all,
It is my custom at Xmas to make charitable donations to animal welfare
organisations rather than sending folks individual xmas christmas cards.
However I hope you will enjoy this little bit of fun.
http://www.icq.com/greetings/cards/66/
And if you have children that like a xmas game
http://www.icq.com/greetings/cards/65/
dont forget you can track santa's progress through Xmas night here
http://www.noradsanta.org/
Hope you all have a happy christmas (if of course you celebrate it) and
will see you all in the new year.
Ross
_______________________________________________
Staff mailing list
Staff(a)ynic.york.ac.uk
https://www.ynic.york.ac.uk/mailman/listinfo/staff
Research Engineer position in Neuroscience
Ivanka Savic M.D., PhD
Karolinska Institutet, Dept for Women’s and Children’s Health
We are seeking a highly talented, innovative and enthusiastic researcher
preferably with a PhD in physics and with experience of brain imaging
(the latter is mandatory).
The research will be conducted at /Div of Behavioral Neurology/ at the
Department of Neurology Karolinska Hospital and Dept of Womens and
Childrens Health, Karolinska Institute, which is part of the Stockholm
Brain Institute (SBI). Our team consists of physicians, physicists,
psychologists and biomedical experts, and our laboratory has expertise
in functional magnetic resonance imaging (fMRI), PET, and psychophysics.
In addition, the Stockholm Brain Institute has MeG and TMS facilities.
We have access to two state-of-the-art 3-Tesla MRI scanners and the
latest generation of the PET scanner at Karolinska Institute and Hospital.
The ideal candidate will have expertise in human brain imaging (PET,
MRI), and mathematics, have knowledge about brain anatomy, and insight
in experimental psychology. The applicant should have experience in MRI
acquisition and analysis, excellent programming skills (eg Linux,
Matlab, Python), basic knowledge of statistics and an appreciation of
methodological issues in cognitive brain imaging. You will be thorough,
efficient, a good communicator, and enjoy working as part of a diverse
and energetic, interdisciplinary team. You will organize methodology
workshops för PhD post doctoral students of the institution. You will
also have many opportunities to own development including national and
international workshops and meetings.
The candidate is expected to work within the general framework of the
research program and actively contribute teaching and improve the MR
methodology, with respect to data post processing. It is important that
the candidate can independently keep updated to the latest software and
their advantages. Applicants should be able to demonstrate a
consistently good academic record, including publications in
international journals. Applicants are expected to have the knowledge of
post processing of the MRI data including analysis of fMRI time series
with calculations of functional connectivity, multivariate pattern
analysis, analyses of structural connectivity and computational
morphometry, and gene brain interaction. There are several on going
research programs covering various fields (e.g., effect of chronic
stress on the brain, impact of sex hormones and sex chromosome genes on
cerebral physiology and behaviour, the underpinnings of human epilepsy)
The position is for an initial 12-month period, with the possibility of
a permanent contract. Applicants with a foreign PhD are welcome.
Application process
An application must contain the following documents in English:
1. Curriculum vitae and qualifications, presented in accordance with
Karolinska Institutet’s qualifications portfolio
(http://ki.se/meritportfolj)
2. A complete list of publications
3. A summary of current work (no more than one page)
4. Verifications for crediting of illness, military service, work for
labour unions or student organizations, parental leave or similar
circumstances
5. Verification from the thesis defense committee or the equivalent
(only if the thesis defense is scheduled within three months after
the application deadline)
The application is to be submitted on the NetRecruiter system.
Application deadline: January 30, 2014
Start time is negotiable.
For additional information, please contact Professor Ivanka Savic,
E-mail: ivanka.savic-berglund(a)ki.se <mailto:ivanka.savic-berglund@ki.se>
Professor of Neurology
Karolinska Institute
Dept of Women’s and Children’s Health and Neurology
Clinic,Karolinska Hospital, Q2:07
SE-171 76 STOCKHOLM, Sweden
Telephone +46 8 517 773 41
+46 709 38 07 38
Fax +46 8 517 76 422
ivanka.savic-berglund(a)ki.se <mailto:ivanka.savic-berglund@ki.se>
A vacancy for a postdoctoral researcher is available at the University of Cambridge. The position is available from Feb 2014 to Dec 2015. http://www.jobs.cam.ac.uk/job/2798/
Dear All
Next Thursday (19th December) Prof. Gary Green will be giving a talk on
"Connectivity maps based on linear and non-linear dynamics".
Abstract:
Many methods have been used to provide evidence of the existence of a
connection from one brain area to another. The evidence can be from
structural investigations such as DTI and histology or from functional
investigations using techniques such as Granger Causality, coherence or
other non-causal methods. These tell us that connections exist but they
do not necessarily provide evidence of the form of the interaction both
in terms of direction, the nature of the processing or the dynamics of
the connection.
Two 'new' approaches to investigating the dynamics of connectivity
will be presented. These are the Adomian Decomposition method and the
Fliess Generating Series method. Both are highly related and are based
on functional expansions of non-linear differential models of the brain.
The can be used with standard ODEs, but can also be used with PDEs,
delay-differential and stochastics models
Both can be used to compare and eshew models, to fit models to data
and to test if existing models are supported by experiment. In passing
we show that SPM's DCM approach may suffer from highly correlated
posteriors.
The approaches are causal and can inform us about directionality,
the timing of connections as well as the level and form of
linear/non-linear processing. We have implemented them in a
simple-to-use set of modules in Python.
MEG data from a reading task will be used to demonstrate the
techniques and to show evidence that brain areas are
causally,directionally connected, on different time scales during this
task.
Everyone is welcome to attend.
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
Dear colleagues,
I would like to alert you to a fully funded 3 ½ year Ph.D. studentship
which is available at the Centre for Cognitive Neuroimaging , University
of Glasgow. The project will use MEG to examine sensory predictions in
patients with schizophrenia and will start in October 2014. The Ph.D.
student will be supervised by Prof. Joachim Gross and Dr. Peter Uhlhaas.
Details of the project are attached. Further infos on the studentship
can be found here:
http://www.gla.ac.uk/colleges/mvls/graduateschool/researchopportunities/stu…
Inquiries can be forwarded to either one of the supervisors.
Best wishes,
Peter Uhlhaas
Dr. Peter J. Uhlhaas
Reader
Institute for Neuroscience and Psychology
University of Glasgow
58 Hillhead Street
Glasgow
G12 8QB
Telephone +44 (0)141 330 8730
Research Fellow Positions on Imaging Genetics of Infant Brain
*_Job description:_*
Computation functional anatomy laboratory at National University of
Singapore (http://www.bioeng.nus.edu.sg/cfa) focuses on brain and
cognition studies using neuroimaging techniques. Our group is leading a
large-scale longitudinal neurodevelopmental project from birth onwards
in Singapore. The project examines neurocognition using EEG and eye
trackers, brain development using diffusion tensor imaging (DTI),
resting-state fMRI, and structural MRI, genetic and epigenetic
influences on cognition and brain. Thus far, we have collected both
functional and anatomical imaging as well as genetic and epigenetic data
of 200 newborns and their follow-up at six months. The follow-up
scanning at 4, 6, and 8 years will start soon. We are looking for a
research fellow who is interested in developing and (or) employing
pattern recognition approaches to understand the relationship of the
brain with psychopathology in early life and how environmental factors
and genetics influence such relationship. Or the candidate is interested
in developing spatial-temporal analysis tools for this longitudinal
datasets.
*_Requirements:_*
·Ph. D or MD
·Neuroimaging Research background is preferable but necessary
·Knowledge in multivariate statistical analysis is necessary
·Good communication and writing skills in English language
If you are interested in the jobs listed above, please send your CV to
Associate Prof. Anqi QIU
Department of Biomedical Engineering
National University of Singapore
Email: bieqa(a)nus.edu.sg <mailto:bieqa@nus.edu.sg>
Phone: +(65) 6516 7002
