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models and machine learning techniques for kinetic equations arising from plasma and neutron transport. The position will be based at Virginia Tech’s campus in Blacksburg, VA. The postdoc will have a
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, rapid assessment of treatment effectiveness, and collaborative learning with agency partners. The postdoctoral scholar will be based in Seattle and will work primarily at the USFS Pacific Wildland Fire
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Job Description Applications are invited for a full-time Postdoctoral Associate position within the Bradley Department of Electrical and Computer Engineering, Wireless @ Virginia Tech, College
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 hour ago
on the principle that by integrating high-resolution Earth observation (EO) data from NASA with state-of-the-art machine learning, we can produce a more accurate, dynamic, and actionable measure of wildfire risk
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, high-performance computing (HPC), dimensionality reduction, and machine learning. Your responsibilities will include publishing research in leading conferences and journals, contributing to grant
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the Department of Chemistry at NYU is looking for a motivated postdoctoral associate to perform interdisciplinary work on studying the conformational dynamics of redox-active proteins and electron transfer in
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researcher in algorithmic game theory and/or online learning, working with Prof. Celli at BIDSA and the Department of Computing Sciences. The project studies how multiple machine learning algorithms interact
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is looking for a highly motivated and independent individual to work as a Postdoctoral Associate. This position is for a post-PhD trainee preparing for a research scientist career path. The planned
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: Postdoctoral Position Location: Evanston, Illinois 60201, United States of America [map ] Subject Areas: Astrophysics / Astronomy , Astrophysics , Black holes , Numerical Simulations , Observational
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 5 days ago
-Neptunes and gas giants (3 years). Developing next-generation techniques for atmospheric characterization through retrievals with machine learning, including techniques such as simulation-based inference