400 computer-science-"https:"-"https:"-"https:"-"Data-driven-Materials-Modeling" positions at NIST
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RAP opportunity at National Institute of Standards and Technology NIST Durability of fiber-reinforced polymer composite retrofits used in buildings and infrastructure Location Engineering
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RAP opportunity at National Institute of Standards and Technology NIST Discrete Photon Detection Location Physical Measurement Laboratory, Sensor Science Division opportunity location 50.68.51
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RAP opportunity at National Institute of Standards and Technology NIST Chemical Metrology of Dietary Supplements Location Material Measurement Laboratory, Chemical Sciences Division opportunity
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RAP opportunity at National Institute of Standards and Technology NIST Absolute radioactive gas measurements spanning 9 orders of magnitude in activity Location Physical Measurement Laboratory
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RAP opportunity at National Institute of Standards and Technology NIST Finite Element and Crystal Plasticity Modeling for the Development of Lightweighting Materials Location Material
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of solvation, redox potentials, pKa, spectroscopic observables, enzyme kinetics, etc) for these processes provide a rigorous framework for the validation of novel computational methods. Computational methods
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. Mixtures of interest include natural gas, refrigerant mixtures (e.g., R-410a), and vapor samples that are important to forensic science (e.g., fuel vapors associated with arson). We are also interested in
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Nanoscale Spectroscopy (AFM-IR, PTIR, STML) for Strongly Correlated Materials at Cryogenic Temperatures NIST only participates in the February and August reviews. Strongly correlated electrons in quantum materials give rise to technologically relevant optoelectronic properties such as...
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RAP opportunity at National Institute of Standards and Technology NIST Developing new techniques for studying the underlying mechanisms of hydrogen embrittlement Location Material Measurement
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RAP opportunity at National Institute of Standards and Technology NIST Machine Learning Methods for the Prediction and Correlation of Thermophysical Properties Location Material Measurement