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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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data-driven, computational approaches. Successful candidates will be willing and able to work across a breadth of disciplines - from genomics to computer science, sociology to psychology, engineering to
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and society, is developing an emerging research and teaching program in design that embraces Princeton's commitment to the betterment of humanity through deliberative, informed, and thoughtful design
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enduring impact in the areas of science, environmental conservation and patient care. Visit Moore.org or follow @MooreFound. The foundation's $185-million EPiQS initiative promotes discovery-driven research
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engineering. We seek candidates with an interest in participating in large multi-PI grants and with collaborative research experiences, experience writing proposals for user-facilities, and/or experience
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related field (e.g., statistics, computer science, electrical engineering, applied mathematics, or operations research) before May 2025 are encouraged to apply. Ideal candidates will display outstanding
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are of relevance. Outstanding scholars anywhere in the world are eligible to apply. NCGG invites candidates with a background in political science, economics, modern history, sociology, anthropology, law, business
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: 277839339 Position: Postdoctoral Research Associate Description: The Ferris Research Group in the Mechanical and Aerospace Engineering Department at Princeton University invites applications for a
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the Department of Chemical and Biological Engineering to study the biochemical and mechanical mechanisms that define pattern formation during branching morphogenesis of the lung and mammary gland. Further
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the Andlinger Center for Energy and the Environment and the Department of Chemical and Biological Engineering at Princeton University. The position is in the broad area of renewable energy systems synthesis