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right. We believe that ensuring a prosperous global future depends on the ability to support local people and communities everywhere. By working in and across multiple scientific areas, CALS can address
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
develop and support a rich array of outstanding health sciences research programs, centers, and resources. We will provide infrastructure and opportunities for collaboration among disciplines throughout and
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the assessment, participating in multidisciplinary team meetings, and contributing to ongoing research projects. The successful applicant will contribute to multiple funded projects that utilize clinical
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Summary: The Burger laboratory in the Colorado Program for Musculoskeletal Research (CPMR), within the Department of Orthopedics, is seeking to fill the position of a Postdoctoral Fellow. This position is
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. The Postdoctoral Associate will participate in a cross-disciplinary research team comprised of faculty Co-PIs, a research director, PhD students, and several Master’s or undergraduate students across multiple
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University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations. Duke
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
support a rich array of outstanding health sciences research programs, centers, and resources. We will provide infrastructure and opportunities for collaboration among disciplines throughout and beyond our
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
The Atmospheric and Oceanic Sciences Program at Princeton University, in association with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), seeks a postdoctoral or more senior research scientist
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adenocarcinoma (PDA) pathogenesis. The murine models of distinct genetic subtypes of pancreas cancer that we have developed form the basis of our integrated, systematic, and multidisciplinary research program. Our
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by multiple orders-of-magnitude. This is an exciting opportunity to be at the forefront of using advanced computational methods and systems, including machine learning, to develop data and computing