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Magnetic Resonance Elastography, Image Segmentation, Artificial Intelligence

National Institute of Diabetes and Digestive and Kidney Disease, Bethesda, MD and surrounding area

Position Description:

The research of our group at the Biomedical and Metabolic Imaging Branch focuses on understanding the link between metabolism in obesity and other metabolic disorders and the development of liver diseases. Projects include the development of in-vivo magnetic resonance elastography and strain analysis, and segmentation tools for assessment of liver fibrosis and inflammation.



Applicants are expected to have a PhD or equivalent doctoral degree in physics, engineering, computer science or a related discipline. A background with knowledge and experience with image analysis, organs and vessels detection and segmentation is strongly preferred. Computer programming skills are essential, preferably including machine learning techniques.
Experience with applying machine learning techniques to solve medical imaging problems, open-source data visualization libraries, and mathematical modeling are desirable. All qualified individuals are encouraged to apply.
The postdoctoral fellow will work with a team of MR physicists and physicians. Facilities include 3.0T whole body scanners with full pulse programming capabilities ready and multiple Nvidia GPU-enabled workstations.

Applicants must have fewer than five years of postdoctoral experience

To Apply:

Qualified individuals should send a cover letter describing research experience and interests, curriculum vitae, bibliography, and contact information for three references (including the current supervisor) to:
Dr. Ahmed M. Gharib
Dr. Khaled Z. Abd-Elmoniem,
Biomedical and Metabolic Imaging Branch,
NIH/NIDDK, 10 Center Drive, Rm 3-5340, Bethesda, MD 20892.
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