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training and scientific development. Current projects funded by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) include: 1) determining the role of glucose in the regulation
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staff. Contribute to the design of experiments, data acquisition, data analysis and interpretation, prepare manuscripts, mentor junior researchers and work independently. Experience in cellular/molecular
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tools and methodologies into their teaching and research. This work will include: Offering one-on-one consultations, which may develop into longer-term research collaborations, including substantive and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our research enterprise and towards our
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 6 days ago
ocean models, available in-situ data, and satellite observations. The study builds on analyses from a consortium of models, such as Estimating the Circulation and Climate of the Ocean (ECCO, http
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Sahoo and perform molecular/cellular studies of neuronal development using in vivo (mouse models) and in vitro (cultured primary neurons) models, involving skilled surgical procedures on mice and rats
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Postdoctoral Fellow positions as part of the NSF AI Institute for Human-AI Cooperation (NSF HAIC) (https://haicinstitute.org/), a $21.5 million multi-institutional research initiative across the University
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to origins of life research, artificial intelligence methods development, evolutionary biology, and computational biology.Prof. Kaelber is recruiting a “dry lab” scientist for methods development in
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Sciences Location Bloomington Position Summary Position Overview The Postdoctoral Researcher will join an NSF-funded project developing and testing computational models of how decisions evolve over time. The
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atlas-scale pediatric single-cell and spatial transcriptomic datasets. We are particularly interested in developing AI- and agent-based approaches to nominate cell-surface antigen combinations