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Ref.: 537011 Work type: Full-time Department: Department of Electrical and Computer Engineering (14300) Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff Applications
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Lawrence Berkeley National Laboratory is hiring a Postdoctoral Researcher – Machine Learning for Materials Science within the Molecular Foundry division. Molecular Foundry is a Department of Energy
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The eBRAIN Lab (https://ebrain4everyone.com ) in the Division of Engineering at New York
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront
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developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoc: Keystone Project (Machine-Verified LLM Inference) Mission The Keystone project seeks
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About the role Applications are invited for a Postdoctoral Research Associate in Artificial Molecular Machines to work under the supervision of Professor Matthew Langton for a period of up to 24
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project focused on developing an advanced machine learning framework for spatio-temporal datasets. The position is for 2.5 years and is partially funded by the Dutch Research Council (NWO) through
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physics, applied mathematics, computational science, machine learning, and control engineering. Current collaborations involve major fusion facilities and research programs, including DIII-D (San Diego, CA
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 22 days ago
framework used in Electric Propulsion (EP) plasma modeling and support key elements of the group’s M&S activities. Given that plasma flows in EP carry a strong hydrodynamic component, and that fluid dynamics