192 computer-security-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr" positions at NIST
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employed. This involves the computational determination of 3-D features of a specimen from a series of their 2-D projections. By carefully preparing the specimen, designing the experimental acquisition, and
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301.975.6662 Description An experimental and modeling program is underway to further the understanding of dynamic processes that occur in fires and to reduce the impact of fire on people, property, and the
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RAP opportunity at National Institute of Standards and Technology NIST Nanophotonic Enabled Spatiotemporal Control of Light Location Physical Measurement Laboratory, Microsystems and Nanotechnology Division opportunity location 50.68.02.C0628 Gaithersburg, MD 20899 NIST only participates in...
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experiments and datasets for model validation of multi-phase computation fluid dynamics (CFD), discrete element method (DEM), or data-driven modelling. Measurement of defect types and populations using micro- x
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decision making to improve resilience in communities of all sizes. There is a need for metrics and tools that support assessment of community resilience that account for life safety, functionality
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RAP opportunity at National Institute of Standards and Technology NIST Magnetic Resonance in Industrial Applications Location Physical Measurement Laboratory, Applied Physics Division opportunity location 50.68.62.C0945 Boulder, CO NIST only participates in the February and August...
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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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of prior physics knowledge into the data analysis, including both physics theory and databases of experimental and computational materials property data. We currently run 10 diverse autonomous platforms
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of chemometric techniques to address issues such as these will have wide ranging applicability not only to forensic science but also sectors such as homeland security, health care, environmental, and industry
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correlations and prediction methods. The program will build on our existing efforts using Quantitative Structure-Property Relationship (QSPR) methodologies and modern machine learning methods (support vector