A Postdoctoral Research Associate position is available at the University of Virginia School of Medicine for diffusion MRI acquisition, analysis, and modeling. The position involves developing advanced imaging techniques for studying tissue microstructure in the healthy human brain and neurodegenerative disorders. Machine learning will be utilized throughout the development process. The position offers potential growth opportunities.
A Postdoctoral Research Associate position in diffusion MRI acquisition, analysis and modeling is available at the University of Virginia School of Medicine under the supervision of Dr. Merry Mani, in the Department of Radiology.
The successful candidate will work to develop, validate, and translate cutting-edge diffusion MRI acquisition and analysis techniques for tissue microstructural imaging in the healthy human brain, with further applications in neurodegenerative disorders such as Huntington’s Disease, Parkinson’s and Alzheimer’s disease. The goal is to develop new imaging methodologies with high sensitivity and specificity to study the tissue microstructure, by synergistically combining advanced acquisition, reconstruction, and analysis methods. Machine learning will be a crucial component and will be used in all stages of development. The position comes with the potential for further growth opportunities including promotion into Research Track Faculty or Research Scientist Track positions based on performance and funding. A Ph.D. (or equivalent) in electrical engineering, biomedical engineering, computer science, medical physics, or a related field is required; however, strong candidates with other scientific backgrounds will also be considered. The ideal candidate should have a strong analytical background while displaying a high level of creativity
Postdoctoral Research Associate Diffusion MRI Tissue Microstructure Neurodegenerative Disorders Machine Learning University Of Virginia School Of Medicine
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