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Computational Mathematics Division opportunity location 50.77.11.B7430 Gaithersburg, MD NIST only participates in the February and August reviews. Advisers name email phone Vladimir V Marbukh marbukh@nist.gov
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Information Technology Laboratory, Applied and Computational Mathematics Division NIST only participates in the February and August reviews. Machine Learning (ML) and artificial intelligence (AI
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NIST only participates in the February and August reviews. The Materials Reliability Division at NIST houses one of the nation’s leading laboratories for testing the reliability of structural materials. We are at the forefront of mechanical testing of these materials, performing fracture,...
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RAP opportunity at National Institute of Standards and Technology NIST Advancing Forensic Seized Drug Analysis Location Material Measurement Laboratory, Materials Measurement Science Division opportunity location 50.64.31.C0530 Gaithersburg, MD NIST only participates in the February and...
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systems at multiple length and temporal scales for which we need a robust mathematical model. Modeling low frequency phonons requires an accurate knowledge of the temporal behavior of a many-body system
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-methodology Buildings; Infrastructure systems; Social systems; Community resilience; Metrics; Decision making; Systems modeling; Engineering; Social Science; Operations research; Mathematical programming
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of a fuel, relative to a mathematical description such as an equation-of-state. We are using a new 600 MHz NMR, equipped with a cryogenic probe and diffusion accessory to develop an advanced approach
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quality in the field, (8) developing non-destructive techniques to identify and quantify debonded areas at the FRP/concrete bond line, and (9) developing mathematical models to quantify moisture transport
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; Decision Making; Engineering; Infrastructure systems; Social systems; Metrics; Systems modeling; Social Science; Operations research; Mathematical programming; Optimization; Systems analysis; Risk analysis
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systems; Community resilience; Metrics; Decision making; Systems modeling; Engineering; Social Science; Operations research; Mathematical programming; Systems analysis; Risk analysis; Citizenship: Open to