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Field
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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 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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. 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 4 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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to manage multiple projects while sustaining daily operations. Demonstrated ability to communicate effectively, orally and in writing, with a diverse population of constituencies in private and public sectors
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analysis of (1) decarbonization pathways for energy- and emissions-intensive industries and (2) material circularity pathways in a low-carbon future. The candidate would conduct research across multiple DOE
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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