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RAP opportunity at National Institute of Standards and Technology NIST Durability of Concrete Materials Containing Reactive Minerals in the Aggregate and Concrete Location Engineering Laboratory, Materials and Structural Systems Division opportunity location 50.73.11.C1032 Gaithersburg,...
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RAP opportunity at National Institute of Standards and Technology NIST Channel Sounding and Radio Frequency Propagation Location Communications Technology Laboratory, Radio Frequency Technology Division opportunity location 50.67.22.C1019 Boulder, CO NIST only participates in the February...
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, or techniques that will speed up analysis times, provide increased information to the chemist, and/or simplify data interpretation while enhancing data quality. One of the goals of the forensic program at NIST is
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types. Furthermore, since SDD/EDS is an experimentally simpler technique than EPMA/WDS and more people own the necessary equipment, there are many opportunities to help the industrial, forensic and
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procedures must be developed. The new hybrid AM processing methods will be instrumented and characterized using a variety of experimental techniques and computational models. key words additive manufacturing
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catalytic turnover. Integrative modeling and machine learning have the promise of establishing new tools for combining computational and experimental data from HDX-MS and NMR to explain the dynamics and
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. Advisers name email phone Yamil Simon ysimon@nist.gov 301.975.8638 Description NIST has long developed and provided reference materials to assist others in making reliable measurements. The NIST Standard
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, toxicology, statistics, and computer programming are applicable. key words Forensics; Forensic Science; Toxicology; Statistics; Mass Spectrometry; Drugs; Chemometrics; Analytical Chemistry Eligibility
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., biomarkers, metabolites) must be evaluated using digital twins of breath device prototypes. Our digital twins are based on simulations using computational fluid dynamics (CFD) and computational fluid and
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for critical applications that require qualification and certification—increasingly require that computational models and in-situ monitoring of such processes be experimentally validated under highly controlled