448 professor-computer-science-"https:" "https:" "https:" "https:" "University of Cambridge" positions at NIST
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RAP opportunity at National Institute of Standards and Technology NIST Computational Investigations of Molecular Interface Formation from the Perspective of Cosolvent Preferential Interactions
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NIST only participates in the February and August reviews. The Alternative Computing Group at NIST has an ongoing program developing new metrologies to support emerging information processing
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New measurement methods and tools are required for biology to emerge fully as an enabling, practical platform for engineering. The Cellular Engineering Group works to provide a foundation of
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with high-speed and energy-efficient InP and GaN chips. This research opportunity at NIST’s Communications Technology Laboratory is focused building the tools and techniques that are required to design
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RAP opportunity at National Institute of Standards and Technology NIST Advanced computational modeling techniques to enable fast screening of RNA biopharmaceutical products Location Material
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RAP opportunity at National Institute of Standards and Technology NIST Materials Discovery Using Synchrotron Radiation, Machine Learning, and Artifical Intelligence Location Material Measurement
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RAP opportunity at National Institute of Standards and Technology NIST Engineering Enzymes for the Biomanufacture of Nucleoside Conjugates Location Material Measurement Laboratory, Biomolecular
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; Parallel and distributed computing; Software engineering; Standards; Eligibility citizenship Open to U.S. citizens level Open to Postdoctoral applicants Stipend Base Stipend Travel Allotment Supplementation
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RAP opportunity at National Institute of Standards and Technology NIST AI-Driven Experimental Materials Science Location Material Measurement Laboratory, Materials Measurement Science Division
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of materials science and engineering. The successful applicant would work with a team of experts including experimental materials scientists, computational materials scientists, machine learning experts