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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
: 277494287 Position: Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning Description: The Atmospheric and Oceanic Sciences Program at Princeton University, in
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of extension based on performance and availability of funding. Application Window Open date: July 24, 2025 Next review date: Monday, Sep 1, 2025 at 11:59pm (Pacific Time) Apply by this date to ensure full
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? In addition to salary, our Total Rewards benefits and Compensation Estimator give you a clear view of the complete package. CONTEXT OF THE JOB: The Delaware Center for Cognitive Aging Research
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candidate will work in close coordination with collaborators across these disciplines and will be embedded in an environment that values computational-experimental integration and high-impact research
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U.S. Great Plains region, as evidenced by application material. Previous experience with coupling interdisciplinary models and/or high-performance computing, as evidenced by application material
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, or relevant program. Direct experience with molecular biology Data Analysis Tissue Culture Preferred Qualifications: 1-2 high quality papers The ability to work independently within the research lab Authorized
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Planetary Health (HPH) (link is external) and Project Unleaded (link is external) for an exciting postdoctoral fellowship that contributes to a high-impact global program with a mission to create a
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animal model experiments including assessing animal behavior, performing surgeries, tissue harvest, pathology and molecular analysis. Participate and observe in cell experiments including cell culture, PCR
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-performance computing (HPC) environment Perform data analysis and visualization Perform machine learning and inverse design techniques Train and supervise masters and doctoral students Coordinate research with
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. The successful candidate will support a broader research initiative focused on computational chemistry for sustainable energy solutions, including the development and application of Drude polarizable force fields