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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days 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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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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Conditions for Eligibility Department Information The Bioengineering Department is on the cutting edge of technology and research, with multiple current grants funded by the NIH, NSF, and others for work
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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
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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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position is based on the Indianapolis campus location. Remote options, with frequent travel to campus, may be available. We are recruiting multiple postdocs to join our team in this role. Responsibilities
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-seq, CITE-seq, and/or multiome-sequencing data, along with genomic data integration. Interest in human genetics and autoimmune disorders. Solid background in both programming and biology. Strong