Dear YNiC users,
All YNiC users are invited to attend the next meeting of the YNiC
Science Committee, next Monday at 2pm in B204. The committee exists to
facilitate scientific work at YNiC by bringing YNiC staff and users
together to discuss support issues. Users who would like to raise a
particular issue for consideration at this meeting should contact the
Chair (Beth Jefferies <beth.jefferies(a)york.ac.uk>) or Secretary (Michael
Simpson <michael.simpson(a)ynic.york.ac.uk>) *in advance*, so that the
issue can be added to the agenda.
With best wishes
Beth and Michael
--
Dr Michael Simpson
Science Liaison Officer
York Neuroimaging Centre
Innovation Way
York
YO10 5DG
Tel: 01904 567614
Web: http://www.ynic.york.ac.uk
Dear Users
This Thursday (4.15 pm in YNiC open plan) there will be a project
proposal presentation given by Charlotte Murphy. The title of
Charlotte's talk is "Flexible Retrieval and Representation of Amodal
Concepts".
Everyone is welcome to attend and refreshments will be served afterwards.
Best wishes
Rebecca
--
************************************************************************
Dr. Rebecca E. Millman
Science Liaison Officer
York Neuroimaging Centre
The Biocentre
York Science Park
Heslington
YO10 5DG
Tel: +44 (0) 1904 567614
Fax: +44 (0) 1904 435356
The Eating Disorder Section of the Department of Child and Adolescent
Psychiatry, University Hospital Carl Gustav Carus, Dresden University of
Technology, Germany (Prof. Stefan Ehrlich) invites applications for a
postdoc position (full time) in neuroimaging of eating disorders with a
focus on computational neuroscience and in close collaboration with the
Collaborative Research Centre 940 "Volition and Cognitive Control:
Mechanisms, Modulators, and Dysfunctions" http://www.sfb940.de/. Our
international and multidisciplinary group conducts basic research in
neuroscience at the inter-face to clinical applications. We focus on
cognitive control, reward system and the processing of positive and
negative emotions in patients with anorexia nervosa. Some of our
projects are part of the aforementioned Collaborative Research Centre
(CRC, Steering Committee: Profs. T. Goschke, C. Kirschbaum, M. Smolka,
A. Strobel, H.-U. Wittchen).
Postdoctoral Research Position (f/m)
in Neuroimaging of Eating Disorders
To further strengthen our lab, we are seeking for a postdoc with some
experience in Computational Neuroscience, e.g. model-based analysis of
behavioral and MRI data, decoding or machine learning. Responsibilities
will also include the coordination of our ongoing clinical research
study and the acquisition, preprocessing and analysis of a range of
behavioral and magnetic resonance imaging (MRI) data. Together with a
doctoral student new functional MRI paradigms need to be programmed and
implemented. Imaging sessions will take place on the Neuroimaging
Center's 3T Siemens TIM-Trio scanner. We routinely collect high-quality
structural, diffusion, and functional MRI data. A variety of additional
information is also being collected, including neuropsychological and
psychiatric scales, physiological (SCR, eye tracking) and
endocrinological markers. Summarizing results and writing research
articles will be another central aspect of the work.
The successful applicant will work in a team of young investigators and
also start to supervise doctoral students, interns and medical students
working in the project. Thanks to the CRC the applicant will have ample
opportunity to work with peers and senior scientists in similar project
in the Medical School and the Psychology Department. 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 or electrical engineering (with
additional qualifications or experience in computational neuroscience a
PhD, MD or comparable degree in a relevant field such as psychology,
biology, biomedicine, medicine, biophysics or physics may also be
sufficient).
. 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 or connectivity analyses)
. Experience in computer programming (Linux/Unix shell scripting, Python
and/or MATLAB)
. Some exposure to cognitive and emotional neurosciences
. Participation in research activities within the past years
. Publications in peer-reviewed journals
. Strong organizational skills
. Command of some basic German
The successful applicant will join a multidisciplinary team of
researchers and clinicians, will receive further training and train
doctoral students (informally).
The Salary will be consistent with levels in accordance with the German
Research Foundation (100% TV-L: E 13). Compensation includes health
insurance and vacation time.
The position is available for a start date as soon as January 20th 2014
(to be confirmed). Review of applications will begin immediately and
will continue until the position is filled. The position is guaranteed
for two to three years with the possibility of renewal after positive
evaluation. The funding has been granted for 5 years.
To apply you can use our online portal
(http://www.uniklinikum-dresden.de/bildung-und-karriere/stellenangebote/wiss…
).
The application should include a cover letter detailing professional
objectives and interests, CV (with grades and language skills), and the
names and email addresses of two references. The application can be
written in German or English. The position is open to qualified
international applicants.
Please refer to our homepage:
http://www.kjp-dresden.de/en/content/eating-disorders
, http://tu-dresden.de/die_tu_dresden/fakultaeten/fakultaet_mathematik_und_na…,
http://www.kjp-dresden.de/en/content/schizophrenia
and http://www.kjp-dresden.de/de/basic-page/publikationsliste-prof-dr-s-ehrlich
for more detailed information.
:::::::::::::::::::::::::::::::::::::::::
Dipl.-Inf. Daniel Geisler
Wissenschaftlicher Mitarbeiter
Bereich Angewandte Entwicklungsneurowissenschaften
Klinik und Poliklinik für Kinder- und Jugendpsychiatrie und -psychotherapie
Fon +49 (0)351 458-7071
Fax +49 (0)351 458-7206
Universitätsklinikum Carl Gustav Carus
an der Technischen Universität Dresden
Anstalt des öffentlichen Rechts des Freistaates Sachsen
Fetscherstraße 74 (Haus 25, Raum 233A),
01307 Dresden http://www.uniklinikum-dresden.de
Vorstand: Prof. Dr. med. D. M. Albrecht (Sprecher), Wilfried E. B. Winzer
Vorsitzender des Aufsichtsrates: Prof. Dr. med. Peter C. Scriba
USt.-IDNr.: DE 140 135 217, St.-Nr.: 201 145 00020
Applications are invited for a post-doctoral position to work on the
neurobiology of anxiety and fear. The Comparative Emotion Neuroscience
Group (www.bachlab.org) currently hosts 1 PostDoc, 3 PhD students, and
several support staff, and is looking for a second post-doctoral fellow.
The group’s aim is to develop formal models of animal and human
defensive emotions (panic, fear, anxiety), characterise their
neuroanatomy and the underlying neural computations using neuroimaging
techniques (fMRI, M/EEG) in humans, and apply this knowledge to
psychiatric syndromes involving pathological emotions. The laboratory
offers a friendly and collaborative research environment, a
research-dedicated 3T MRI scanner, a fully equipped
psychological/psychophysiological testing facility, access to EEG, and
collaboration with MEG and 7T MRI facilities. The position is funded for
3 years and paid according to work experience, usually in grade 18. The
lab, behavioural testing facilities, EEG, and 3T scanner are located in
the Department of Psychiatry, University of Zurich, Switzerland.
The successfull applicant will have either (a) an undergraduate degree
in physics/engineering/mathematics/computer science, and a PhD in
cognitive neuroscience, or (b) an undergraduate degree in
biology/psychology/neuroscience, and a PhD in neuroscience with a
computational or technological focus. The candidate will be experienced
in human experimentation, in particular fMRI or M/EEG.
Fluent English is mandatory, German is not. We are looking for a highly
motivated individal with interest in neurobiology who develops
independent research ideas within the group’s framework.
Starting date is 2014. Applications are accepted until the position is
filled. Applicants should send, in one merged PDF, a CV, publication
list, letter of intent with a statement of research interest, and the
name and contact of two references to:
jobs(a)bachlab.org
Dear colleagues,
The *Collaborative Research Center *(CRC) 1052 "Obesity mechanisms" at
the Leipzig University Hospital is offering a *PhD studentship in
computational modelling* under the supervision of Dr Jane Neumann and Dr
Annette Horstmann. Within the project, computational modelling will be
used to investigate decision-making and learning in humans by combining
genetic, behavioural and magnetic resonance imaging (MRI) data from
different modalities.
The PhD position will be based at the *Max Planck Institute for Human
Cognitive and Brain Sciences* in the beautiful city of *Leipzig*. Both
Leipzig‘s long tradition in conducting neuroscientific research and the
ultra-modern equipment at the Institute provide an environment that
offers new perspectives in neuroimaging research. Further, the position
will be part of the CRCs Integrated Research Training Group. This
graduate program offers interdisciplinary qualification in various
research methods and transferable skills, and provides support in career
planning and in establishing an own scientific network.
Applicants should hold a Master's degree (or equivalent) in one of the
following disciplines: computational or cognitive neuroscience, computer
science, mathematics, physics, cognitive science or related. Prior
experience in the field of computational neuroscience and/or
neuroimaging are of advantage. Sound knowledge of statistics and
excellent programming skills are essential. A good command of written
and spoken English is requested of all applicants.
Please send your application as a single pdf-file to
_neumann(a)cbs.mpg.de_ referring to 'Modelling SFB 1052'. Complete
applications include cover letter, CV, letter(s) of recommendation, and
copies of university degrees and additional certificates.
Informal enquiries should be made to Dr Jane Neumann
(_neumann(a)cbs.mpg.de_, +49 (0) 341 99 40 26 21).
The salary is based on the German E 13 TV-L salary scale. In order to
increase the proportion of female staff members, applications from
female scientists are particularly encouraged. Disabled applicants are
preferred if qualification is equal.
Deadline for application: until position is filled
Several postdoctoral positions are available in IDEA lab
(https://www.med.unc.edu/bric/ideagroup), UNC-Chapel Hill, NC.
Segmentation: The successful candidate should have a strong background
on Electrical or Biomedical Engineering, or Computer Science, preferably
with emphasis on image feature learning and segmentation. Experience on
medical image segmentation using deformable surface, level sets, and
graph cut is highly desirable. People with machine learning background
on image features and shape statistics are particularly encouraged to
apply. Strong knowledge on programming (good command of LINUX, C and
C++, scripting, and Matlab) is desirable. The research topic will be the
development and validation of segmentation methods for infant brain
segmentation and surface reconstruction.
Registration: The successful candidate should have a strong background
on Electrical or Biomedical Engineering, or Computer Science, preferably
with emphasis on feature learning and correspondence detection.
Experience on medical image registration is highly desirable. People
with experience on pairwise, group-wise and/or 4D registration are
particularly encouraged to apply. Knowledge on brain development and
also strong background on programming (good command of LINUX, C and C++,
scripting, and Matlab) are desirable. The research topic will be the
development and validation of 3D, 4D, and group-wise image registration
methods for early brain development study.
Atlas Construction: Candidates with experience on patch-based sparse
representation are encouraged to apply. The research topic will be the
development of atlas construction methods for infant brain images.
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>).
A postdoctoral position on machine learning with application to
neuroimage-based brain disease diagnosis and prediction is available in
UNC-Chapel Hill. The successful candidate should have a strong
background on Electronic Engineering, Biomedical Engineering,
Statistics, or Computer Science, preferably with emphasis on machine
learning, pattern classification, regression methods, or sparse
representation. People with strong experience on machine learning are
particularly encouraged to apply.
The successful candidate 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. The research topic will be the development and
validation of novel machine learning methods for early diagnosis and
prediction of brain disorders. Please visit group website
(http://bric.unc.edu/ideagroup) for more information.
If interested, please email resume to Dr. Dinggang Shen
(dgshen(a)med.unc.edu <mailto:dgshen@med.unc.edu>).
Stanford University invites applications for the position of Cognitive
Neuroscience Research Assistant in the Cognitive & Systems Neuroscience
Lab (cosyne.stanford.edu). This is an exciting opportunity to work on
brain imaging studies of cognitive function and dysfunction, cognitive
development and learning disabilities. The successful candidate will
participate in all aspects of research in the lab, including:
acquisition and analysis of functional and structural brain imaging
data, assembling and administering neuropsychological assessments,
screening and recruiting participants, obtaining informed consent,
scheduling participants for testing, tracking progress of the study and
behavioral data, verifying data and entering pertinent information into
database for statistical analysis, conducting statistical analyses, and
assisting with manuscript preparation. A minimum commitment of two years
is required. This is a full-time position with competitive benefits.
There are 2 positions open with start dates in Summer 2014. Please email
a CV and statement of research interests and career goals in PDF format
titled LastName_CV.pdf and LastName_StatementGoals.pdf to Emma Adair at
hiring.stanford.cosyne(a)gmail.com. Application deadline is March 15;
competitive candidates will be contacted for interviews starting
mid-February.
Qualifications:
Requires a BS/BA degree in psychology, human biology, neuroscience,
biomedical engineering or related fields as well as one to two years of
research experience. A strong academic record is essential. Past
research experience in cognitive neuroscience is highly desirable.
Experience with any of the following would be an added advantage: brain
imaging data acquisition, MRI data analysis, neuropsychological
assessments, computer programming, MATLAB, signal processing, and
statistical analysis. The candidate must have strong organizational and
interpersonal skills; the ability to work well with children; a
willingness to tackle complex tasks in an independent manner; and a
strong work ethic.
Dear colleagues,
The *Collaborative Research Center *(CRC) 1052 "Obesity mechanisms" at
the Leipzig University Hospital is offering a *PhD studentship in
computational modelling* under the supervision of Dr Jane Neumann and Dr
Annette Horstmann. Within the project, computational modelling will be
used to investigate decision-making and learning in humans by combining
genetic, behavioural and magnetic resonance imaging (MRI) data from
different modalities.
The PhD position will be based at the *Max Planck Institute for Human
Cognitive and Brain Sciences* in the beautiful city of *Leipzig*. Both
Leipzig‘s long tradition in conducting neuroscientific research and the
ultra-modern equipment at the Institute provide an environment that
offers new perspectives in neuroimaging research. Further, the position
will be part of the CRCs Integrated Research Training Group. This
graduate program offers interdisciplinary qualification in various
research methods and transferable skills, and provides support in career
planning and in establishing an own scientific network.
Applicants should hold a Master's degree (or equivalent) in one of the
following disciplines: computational or cognitive neuroscience, computer
science, mathematics, physics, cognitive science or related. Prior
experience in the field of computational neuroscience and/or
neuroimaging are of advantage. Sound knowledge of statistics and
excellent programming skills are essential. A good command of written
and spoken English is requested of all applicants.
Please send your application as a single pdf-file to
_neumann(a)cbs.mpg.de_ referring to 'Modelling SFB 1052'. Complete
applications include cover letter, CV, letter(s) of recommendation, and
copies of university degrees and additional certificates.
Informal enquiries should be made to Dr Jane Neumann
(_neumann(a)cbs.mpg.de_, +49 (0) 341 99 40 26 21).
The salary is based on the German E 13 TV-L salary scale. In order to
increase the proportion of female staff members, applications from
female scientists are particularly encouraged. Disabled applicants are
preferred if qualification is equal.
Deadline for application: until position is filled
Dear all,
I've been asked to forward this job description of an open postdoc
position in our lab. The
applicant will need fluent knowledge of the German language, therefore,
the ad and the attachment
were not translated to English. Sorry to everybody else...
Thanks,
Mareike
> Postdoktorandenstelle (4 Jahre) in der neurowissenschaftlichen Forschung
>
> Im Rahmen des neu bewilligten SFB-Transregios TR 134 „Ingestive
Behavior“ (Verbund Köln, Lübeck
> und Hamburg) ist für das Teilprojekt „Der Einfluss von Gewicht und
Gewichtsabnahme auf
> homoestatische und belohnungsassoziierte neuronale Netzwerke“ ab dem
1. April 2014 eine Postdoc-
> Stelle (100%) am Institut für Systemische Neurowissenschaften,
Universitätsklinikum Hamburg-
> Eppendorf zu besetzen.
>
> --
> Dr. Stefanie Brassen
> Department of Systems Neuroscience, Bldg W34
> University Medical Center Hamburg-Eppendorf
> Martinistrasse 52
> 20246 Hamburg, Germany
> Mail: sbrassen(a)uke.de
> Phone: ++49-40-7410-54865
> Fax: ++49-40-7410-59955
--
Mareike Düesberg
Dr. rer. hum. biol.
Institut für Systemische Neurowissenschaften
Universitätsklinikum Hamburg-Eppendorf, Haus W34
Martinistr. 52, D-20246 Hamburg, Germany
+49 40 7410 55469
m.menz(a)uke.de
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Besuchen Sie uns auf: www.uke.de
_____________________________________________________________________
Universitätsklinikum Hamburg-Eppendorf; Körperschaft des öffentlichen
Rechts; Gerichtsstand: Hamburg
Vorstandsmitglieder: Prof. Dr. Christian Gerloff (Vertreter des
Vorsitzenden), Prof. Dr. Dr. Uwe Koch-Gromus, Joachim Prölß, Rainer Schoppik
_____________________________________________________________________
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