[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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