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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 3 hours ago
data collection of mammograms, and pathology and radiology images for potential development of a Virtual Tumor Board. The selected candidate is expected to work in a team environment together
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focused on advanced tissue imaging for diagnostic and intraoperative applications. The successful candidate will work on federally funded projects aimed at developing and applying novel microscopy platforms
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are separate from the natural world – upon an increasingly dominant paradigm in environmental science – social ecological systems, which acknowledges that human social systems are part of natural ecosystems
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assessments including blood pressure monitoring, myography and non-invasive imaging. In addition, the Postdoctoral Researcher will help the PI in research-related coordination duties that support the overall
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Post-Doctoral Position - Oncology & molecular biology & radiology imaging - (230000YP) Exciting positions for postdoctoral fellows or research specialists in molecular biology / biochemistry
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Post-Doctoral Position - Oncology & molecular biology & radiology imaging - (230000YQ) Exciting position for postdoctoral fellows in chemistry at the PhD level are currently available
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/Temporary Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Duties and Responsibilities: Post-doctoral Associate positions will become available in
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exceptional postdoctoral research fellows interested in developing deep learning and computational methods for pathology image analysis, multimodal data integration, and other medical modalities (e.g
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) PhD, MD, or MD/PhD. Doctorate-level degree (or foreign equivalent) in a field relevant to human brain imaging
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). The successful applicant will initially be involved with DOD-funded clinical projects focused on assessment of bone quality using new methods based on digital tomosynthesis imaging, and identifying strategies