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@hu-berlin.de, the latest by January 31st, 2016.
Best regards, Stephan Heinzel
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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
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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@bcm.edu
Compensation commensurate with experience.
Baylor College of Medicine is an Equal Opportunity /Affirmative Action/Equal Access Employer.
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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@bcm.edu
Compensation commensurate with experience.
Baylor College of Medicine is an Equal Opportunity /Affirmative Action/Equal Access Employer.
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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@nottingham.ac.uk.
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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@med.unc.edu).
For more information, please visit: http://www.unc.edu/~gangl/contact.html.
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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@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@med.unc.edu).
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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@med.unc.edu).
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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-po...
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Gary Green