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: atmospheric convection, radiative transfer, climate change, atmospheric/fluid dynamics, or machine learning. Proficiency in numerical analysis and high-performance computing. Experience with atmosphere/climate
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position is supported by a National Institute on Drug Abuse-funded R01 award. The position involves contributing to a dynamic team engaged in developing and applying a combination of statistical analyses and
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(but not limited to) the qualifications of the selected candidate, budget availability, and internal equity. Pay Range: $80,000 - $85,000 Postdoctoral Research Fellow - Computational Neuroscience and
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testing. Experience with catalyst nucleation, aerosol dynamics, particle formation, or coupled gas-phase and particle-population models. Familiarity with automated experimentation, data acquisition, reactor
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a creative, collaborative, and highly motivated Postdoctoral Fellow to join the Colman Lab. Embedded in the fabric of a thriving scientific community at Stanford, our research program focuses
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the Stanford Woods Institute for the Environment’s Realizing Environmental Innovation Programs (https://woods.stanford.edu/research/funding-opportunities/realizing-environmental-innovation-program(link is
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of recently published analyses assessing the impact of aggregation, outcome measure, and other analytic choices on results developing and implementing a computational model to simulate transmission dynamics
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postdoctoral scholars appointed through the Office of Postdoctoral Affairs. The FY27 minimum is $79, 056. The laboratory of Dr. Sheri Krams is recruiting a postdoctoral fellow for a dynamic immunology research
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computational structural biology, ideally complemented by molecular biology expertise, who are excited to work at the interface of these disciplines. Lab overview: The Huttenhain lab in the Molecular & Cellular
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., state screener lists) and contributing to the technical foundations of the tool. ROAR is a dynamic and collaborative team science project consisting of graduate students, postdocs, faculty, research