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RAP opportunity at National Institute of Standards and Technology NIST High-performance Computing and Data Visualization for the NIST Fire Dynamics Simulator Location Engineering Laboratory
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RAP opportunity at National Institute of Standards and Technology NIST Metabolomics for human health, food quality and safety, and forensic science Location Material Measurement Laboratory
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RAP opportunity at National Institute of Standards and Technology NIST Development of New Computational Methodologies for Molecular Simulation of Soft Materials Location Material Measurement
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: chemical understanding of emerging commercial technologies, studying beneficial reuse of industrial and process wastewaters, supporting commodity authentication, seafood safety and exposure science, and
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, robotics), cyberinfrastructure (e.g., databases, high-performance computing, collaboration tools), and humans (e.g., scientists, engineers, students, managers). The recent interest in Explainable AI (XAI
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include the development of novel polymeric mechanical testing devices, novel adhesion blister testing devices, development of high-throughput screening devices, informatics, and data base development. key
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for accelerated science. This research opportunity focuses on developing, evaluating, and applying computational methods for materials characterization and/or simulation that combine the best aspects of physics
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301.975.8582 Michael Garth Huber michael.huber@nist.gov 301 975 5641 Description This program explores complementary aspects of atom and neutron interferometry with particular emphasis on their interplay with
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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 opportunity location 50.64.31.C1074 Gaithersburg, MD NIST only participates in the February and...
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RAP opportunity at National Institute of Standards and Technology NIST Applied Mathematics of Soft, Fluid, and Active Matter Location Information Technology Laboratory, Applied and Computational