I am looking for a PhD student or PostDoc (65%) to join my research team
at the Humboldt-University Berlin, Germany in a project on the
neurobiological mechanisms of psychotherapy and endurance exercise in
depression (starting 03/2016 for three years).
Please see details in the attachment and send your application to
stephan.heinzel(a)hu-berlin.de, the latest by January 31st, 2016.
Best regards,
Stephan Heinzel
========================
Title Postdoctoral Research Associate I (Multiple Positions)
Department Psychiatry (0717)
Location Arizona Health Sciences Center
Position Summary
The Social, Cognitive, and Affective Neuroscience Laboratory at the
University of Arizona College of Medicine Department of Psychiatry under
the direction of William “Scott” Killgore, PhD, has a postdoctoral
research associate position open in functional neuroimaging and
neuropsychological assessment. Dr. Killgore’s lab is currently funded to
conduct a functional magnetic resonance imaging (fMRI) and diffusion
tensor imaging (DTI) study of the effects of morning bright light
treatment on sleep patterns and recovery from mild traumatic brain injury.
The postdoctoral fellow will play an integral role in all aspects of
this research project, including supervising research assistants,
writing protocols, conducting neuropsychological assessments, processing
and analysis of fMRI/DTI and behavioral data, and publishing findings in
peer-reviewed journals. Additional opportunities to work on neuroimaging
studies of emotional functioning, sleep deprivation, and social
cognition are also available.
A Ph.D. in neuroimaging, cognitive neuroscience, and/or related field is
required. Preference will be given to candidates with backgrounds in
computational methods used in neuroimaging (e.g., Matlab, UNIX, LINUX,
C/C++, SPM, AFNI, Freesurfer, FSL, TrackVis, CONN). Exceptional skills
in experimental design, quantitative methods, and statistical analysis,
and the ability to carry out independent data entry and sophisticated
statistical analyses using standard software packages (e.g., SPSS, BMDP,
JMP, SAS) are particularly desirable. The successful candidate must
demonstrate solid mastery of written English, preferably with some
evidence of peer-reviewed publications.
The College of Medicine recognizes the value of diversity of people,
thought, perspective and experience. As the sole allopathic medical
college in the state of Arizona, the UA College of Medicine values
individuals who are able to work with diverse students, trainees,
colleagues, and subjects.
Outstanding UA benefits include health, dental, vision, and life
insurance; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition
reduction for the employee and qualified family members; access to UA
recreation and cultural activities; and more!
The University of Arizona has been recognized on Forbes 2015 list of
America’s Best Employers in the United States and has been awarded the
2015 Work-Life Seal of Distinction by the Alliance for Work-Life
Progress! For more information about working at the University of
Arizona, please click here.
Duties & Responsibilities
Write protocols, conduct neuropsychological assessments, process
and analyze fMRI/DTI and behavioral data.
Supervise research assistants and others.
Publish findings in peer-reviewed journals.
Additional duties as assigned.
Minimum Qualifications
Ph.D. in neuroimaging, cognitive neuroscience, or related field.
Preferred Qualifications
Background in computational methods used in neuroimaging (e.g.,
Matlab, UNIX, LINUX, C/C++, SPM, AFNI, Freesurfer, FSL, TrackVis, CONN).
Exceptional skills in experimental design, quantitative methods,
and statistical analysis, and the ability to carry out independent data
entry and sophisticated statistical analyses using standard software
packages (e.g., SPSS, BMDP, JMP, SAS).
Evidence of peer-reviewed publications.
Demonstrated solid mastery of written English.
http://uacareers.com/postings/5450
http://uacareers.com/postings/7002
========================
Postdoctoral Fellowship Position in the Dept. of Neurology, Baylor
College of Medicine
The Papageorgiou/Investigational Targeted Brain Neurotherapeutics
Laboratory is seeking a highly motivated post-doctoral fellow to conduct
innovative research to study neuromodulation and neurorehabilitative
appoaches using real-time functional MRI neurofeedback along with EEG
and EMG measures.
The focus of our laboratory is three-fold: (i) elucidate the mechanisms
that guide plasticity following insult to the brain, by using
structural, volumetric, diffusion tensor imaging and functional
connectivity measures; (ii) induce functional plasticity/reorganization
of the brain by applying a targeted and individualized real-time fMRI
neurofeedback method; (iii) develop optimization neurofeedback
approaches via computational modelling.
Prerequisite is a Ph.D. in a relevant field: Bio-engineering/Biomedical
Engineering; Electrical Engineering; MR physics; Neuroscience;
Bioinformatics, Computer Science, (Bio-) Physics or Experimental Psychology.
Experience in fMRI methods and analysis is required. Preference will be
given to applicants with experience in real-time fMRI neurofeedback
methods, multivariate and univariate pattern analysis,
functional/effective connectivity, diffusion tensor imaging, EEG- and/or
EMG approaches.
The trainee will benefit from the Core for Advanced MR Imaging Facility
at Baylor College of Medicine, which includes a state-of-the art imaging
facility with three research-dedicated Siemens 3T MAGNETOM Trios.
The applicant MUST have the passion and motivation to pursue innovative
scientific research with a flexible work schedule.
Apply: Please send a pdf or word CV to Dr. Dorina Papageorgiou at
papageor(a)bcm.edu
Compensation commensurate with experience.
Baylor College of Medicine is an Equal Opportunity /Affirmative
Action/Equal Access Employer.
===============================================
Research Associate/Programmer
The Papageorgiou/Investigational Targeted Brain Neurotherapeutics
Laboratory is seeking a highly motivated research associate/programmer
to conduct innovative research to study neuromodulation and
neurorehabilitative appoaches using real-time functional MRI
neurofeedback along with EEG and EMG measures.
We examine cortical plasticity and neuromodulation in specific patient
populations as a result of neurological injury and/or disease using
real-time functional MRI neurofeedback, functional connectivity and
diffusion tensor imaging methods with the goal to neuro-rehabilitate
cortical blindness, speech, motor impairment as a result of lower
cranial nerve injury.
1) A Masters of Science or Ph.D in any of the following disciplines -
Bioinformatics, Engineering, Biomedical Engineering, Computer Science,
or (Bio-)Physics - is available in the Investigational Targeted Brain
Neurotherapeutics Laboratory of Dorina Papageorgiou, Ph.D., MHSc at
Baylor College of Medicine.
2) Scientific programming expertise in C/C++ and Matlab and/or Python
programming. Knowledge of Unix environment.
3) fMRI experience is a plus.
3) Good English communication skills
4) Excellent organizational, diligent, analytical skills. Ability to
collaborate and work with others.
The main tasks of the software developer will be:
1) Software development of real-time fMRI neurofeedback methods and
application for neuro-rehabilitation of cortical blindness and/or lower
cranial nerve injury.
2) User interface fMRI neurofeedback software development tailored for
specific patient applications
Please send a pdf or word CV to Dr. Dorina Papageorgiou at papageor(a)bcm.edu
Compensation commensurate with experience.
Baylor College of Medicine is an Equal Opportunity /Affirmative
Action/Equal Access Employer.
=========================================
Research Associate / Fellow
The Sir Peter Mansfield Magnetic Resonance Centre (SPMMRC)
School of Physics & Astronomy
The Sir Peter Mansfield Magnetic Resonance Centre (SPMMRC), University
of Nottingham is seeking to recruit a postdoctoral research fellow in
the field of ultra-high field MRI (7 Tesla) and magnetoencephalography
(MEG). This is a 2.5 year post, funded by the Medical Research Council
(MRC) to work on projects related to the development of multi-modal
neuroimaging and its application in the study of sensory systems. In
particular, funding is related to the project “Human Mechanosensation:
From 1st-Order Neurone to Somatosensory Cortex” which aims to
understand in detail somatosensory processing. The successful candidate
will apply fMRI and MEG to understand sensory processing in the human
brain and how these systems break down in disease. The candidate will be
responsible for: 1) Optimising techniques for the acquisition of
neuroimaging data and applying those techniques to both healthy controls
and patients with abnormalities in sensory processing. 2) Developing
novel methods for analysis of neuroimaging data – in particular we will
develop analysis methods for 7T fMRI to assess layers, columns and
population receptive fields and we will introduce new modelling
techniques for MEG to assess electrophysiological activity and
connectivity within and between neural networks.
This post forms part of a collaborative programme and the postdoctoral
fellow will work within a multi-disciplinary team with links within
Nottingham, Liverpool, Oxford, London, Gothenburg, Aix-Marseille, North
Carolina, Amsterdam and the NIH, USA. We expect the applicant to have a
background in physics, mathematics, engineering or a related area.
Further we expect them to have a Ph.D. and published track record in the
field of neuroimaging, in particular the development and application of
fMRI and MEG.
The University of Nottingham has been at the forefront of imaging since
its inception in the 1970’s and a rich history of novel developments
resulted in the award of a Nobel Prize to Sir Peter Mansfield. The Sir
Peter Mansfield Magnetic Resonance Centre (SPMMRC) is a world leading
laboratory working in the field of neuroimaging development, with
significant contributions in the fields of MRI and fMRI, MEG and
simultaneous EEG-fMRI. All experimental recording will take place at the
SPMMRC, which is uniquely equipped with Philips 7T, 3T and 1.5T MR
systems, MR-compatible 64-channel EEG and a 275-channel MEG instrument.
Location: University Park
Salary: £28,695 to £34,233 per annum, depending on skills and experience
Fixed-term
Closing Date: Tuesday 02 February 2016
Reference: SCI373815
Informal enquiries may be addressed to Dr Susan Francis, email:
susan.francis(a)nottingham.ac.uk.
==================================
A postdoctoral research associate position is available at the Infant
Brain Mapping Lab of the University of North Carolina at Chapel Hill
(UNC-Chapel Hill). Our current focuses are to better understand the
dynamic and critical early brain development in both health and disease,
via multimodal neuroimaging analysis. The successful candidate will
support our efforts either in advancing neuroimaging analysis
technologies or in neuroscience applications. We are seeking highly
motivated individuals who have extensive research experience in
neuroimaging analysis (e.g., structural, diffusion or functional MRI)
and demonstrated academic excellence, including publications in
first-class journals and conferences. The candidate should have a Ph.D.
(or equivalent) in Neuroscience, Computer Science, Applied
Mathematics/Statistics, Electrical Engineering, Biomedical Engineering,
or related fields. Good command of programming tools including Matlab,
C++, Linux, and scripting are necessary to carry out the research work
in this group.
The successful candidate will be part of a diverse group including
neuroscientists, radiologists, psychologists, physicists,
biostatistician, and computer scientists, and will build upon the
group's extensive foundation on neuroimaging analysis. If interested,
please email resume to Dr. Gang Li (gang_li(a)med.unc.edu).
For more information, please visit:
http://www.unc.edu/~gangl/contact.html.
=============================
The University of Liège has currently an open call for young foreign
post-doctoral researchers (BeIPD-Cofund program).
The Cyclotron Research Centre has been rather successful in getting
those grants over the last few years. Given the recent investments at
the CRC and with a suitable candidate we would have a very good chance!
The application is not (too) heavy either with only a 4 page project
proposal. The project would focus on the processing of DWI and
structural (quantitative) MRI data for a large study about sleep and
genomic interaction (data already acquired), and the development of such
methods. One idea is to build upon such "Anisotropy preserving DTI
processing" approach but other suggestions by the candidate are welcome.
Cluster processing is also planned.
Very practically:
- the CRC has a 3T Siemens Prisma, a 9.4T Agilent for small animal
imaging, and a 7T Magentom Terra is "on the way". All on site and
dedicated to research.
- candidate should have his/her Phd by the 16th of March 2016 at the
latest (and after September 2010). Strong numeral and programming skills
required (background in engineering, maths, physics, etc. preferred).
- (s)he should not have been funded/living in Belgium over the last few
years.
- 24 months duration grant, starting between the 1st of October and the
31st of December 2016.
Candidates should send me a complete CV, a copy of their Phd thesis, and
a letter of motivation by the 31st of January.
For further details, you can contact me directly by email.
Best,
Chris
Christophe Phillips, Ir, PhD
FRS-FNRS. Senior Research Associate
Adjunct assistant professor in applied sciences
GIGA in silico medicine
Cyclotron Research Centre, B30
University of Liege, Sart Tilman
4000 Liege, Belgium
Tel: +32 4 366 2316 (secr.)
+32 4 366 2366
Fax: +32 4 366 2946
email: c.phillips(a)ulg.ac.be
===================================================
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 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 and aging studies.
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).
==============================
One postdoctoral position is available in IDEA lab
(
https://www.med.unc.edu/bric/ideagroup), UNC-Chapel Hill, NC.
Imaging Genomics: The successful candidate should have a strong
background on Biomedical Engineering, Electronic Engineering, Computer
Science, or relatedly majors, preferably with emphasis on neuroimaging
analysis and genomics. Experience on brain disease diagnosis is highly
desirable. People with machine learning background on feature
representation and regression are particularly encouraged to apply.
Strong knowledge on programming (good command of LINUX, C/C++, Python,
Matlab, etc.) is desirable. The research topic will be the development
and validation of innovative methods for imaging genomics.
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).
===============================
Cardiff University Brain Research Imaging Centre (CUBRIC) is pleased to
announce thirteen openings for physicists / engineers in neuroimaging in
our new premises, which houses 7T MRI, 3T Connectom (300mT/m gradients),
2 x 3 Prisma, MEG, TMS, EEG etc.
The posts range from senior postdoc to full time, permanent academic posts.
Please see our advertisement in Nature Jobs for more details:
http://www.nature.com/naturejobs/science/jobs/568465-academic-faculty-and-p…
==============================