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for exceptional-quality multi-nuclear spectroscopy and imaging (1H, 31P, 13C) of body tissues. The Center for Human Health & Performance (CH2P; http://www.umass.edu/ials/ch2p) houses a wide variety of equipment
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Imaging (https://www.mccauslandcenter.sc.edu ) · Center for the Study of Aphasia Recovery (C-STAR; https://cstar.sc.edu ) · USC Brain Health Network (https://sc.edu/about/centers_institutes/brain-health
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 10 hours ago
public research institutions in the country. UNC-Chapel Hill offers postdocs comprehensive medical and vision coverage , paid leave, and benefits and services that support professional development and a
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of Utah Department of Radiology and Imaging Sciences is seeking applicants for a Diagnostic Medical Physics faculty position, preference will be given to applicants with experience in clinical, technical
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
Carolina at Chapel Hill consistently ranks as one of the nation’s top public universities . Known for its beautiful campus, world-class medical care, commitment to the arts and top athletic programs
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candidate to fill an Assistant Professor position in machine learning based medical image processing. This position is in the non-tenure track. The research focuses will include: deep learning-based MRI image
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vulnerability or survival during neurodegenerative conditions in vivo. Responsibilities of the postdoc will include, but are not limited to: in vivo imaging of biosensors to read out diversity and dynamics
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of the following fields – drug and gene delivery, nanomedicine, gene therapy, molecular imaging and theranostics, biomedical engineering, immunology, cell biology, chemistry, biochemistry, or related fields
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Medicine, Utah Data Coordinating Center, Scientific Computer and Imaging Institute, and Center for Health Ethics, Arts, and Humanities; and drives discovery with meaningful societal impact. College
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on accelerating high-impact advances in human performance by leveraging the rapidly advancing fields of bioengineering, neuroscience, artificial intelligence, genetics, molecular biology, imaging, and regenerative