[Imageworld] Postdoctoral Positions at UNC-CH: Medical Image
Analysis
Pew-Thian Yap
pewthian at yahoo.com
Wed Jun 1 14:53:56 CEST 2011
Several postdoctoral positions in medical image analysis are available at the IDEA Group of UNC-CH (https://www.med.unc.edu/bric/ideagroup). Our current effort is toenhance understanding of the working mechanism of the brain via diffusion weighted imaging (DWI) and functional magnetic resonance imaging (FMRI) by automatically mining information latent in images for the purposes of growth and disease analyses. The positions will support our efforts in advancing novel technologies for analyzing MR for applications in neuroscience. Possible research topics include, but are not limited to, improving disease classification by combining information from multiple modalities, white-matter bundle segmentation/modeling, and structural/functional analysis of subject groups involving infants, and patients with MCI/AD, schizophrenia, and multiple sclerosis. We are seeking highly motivated individuals who have demonstrated academic excellence,
including publications in first-class journals and conferences. Successful candidates should have a Ph.D. (or equivalent) in Computer Science, Applied Mathematics/Statistics, Electrical Engineering, Biomedical Engineering, or related fields. Competence in programming beyond MATLAB (good command of Linux, C/C++, Python, ITK, VTK, etc.) is essential. Experience in neuroscience, medical image analysis, machine learning, and mathematical modeling is highly desirable. 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 extensive foundation on medical image analysis.
Applications should
include a cover letter indicating the research area of interest, a curriculum vitae, and the contact information of three references.
For more information or to submit your application please contact:
Pew-Thian Yap
Assistant Professor
Department of Radiology and BRIC
The
University of North Carolina at Chapel Hill
3123 Bioinformatics Bldg, CB# 7513
130 Mason Farm Rd
Chapel Hill, NC 27599
ptyap at med.unc.edu
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