194 computer-security-"https:"-"https:"-"https:"-"https:"-"https:" positions at NIST in United States
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the development of analytical methodologies, from both instrumentation and informatics standpoints, for the multifaceted and convoluted data that are obtained from complex biological, chemical, and forensic samples
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binding to the cannabinoid receptors. In previous work in our lab, we investigated the binding of low molecular weight thiols (odorants such as tert butyl mercaptan) deployed to promote fuel gas safety (J.L
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regimes, and accurate geometry- and biochemistry-based trajectory analyses. However, detailed molecular dynamics simulations are often too time-consuming to become the basis of computational measurements
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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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memory, batteries, catalysts, flexible devices, alternate computing paradigms, and quantum phenomena. In order to take advantage of the promising properties of these heterogeneous systems, holistic study
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NIST only participates in the February and August reviews. With the advent of the silicon drift energy dispersive X-ray detector (SDD/EDS), enhanced opportunities for high precision and accuracy measurements have opened up[1]. Unfortunately though, few people are making full use of the...
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are essential for broad adoption of these methods, this postdoc would collaborate with a unique array of technology and informatics developers in the Genome in a Bottle Consortium to develop authoritative de novo
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the potential of quantum states of light for advanced measurements and computation, integration in a chip-scale nanophotonic environment is required. In particular, the integration of single-photon sources with
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Poppendieck dustin.poppendieck@nist.gov 301.975.8423 Description This program is designed to provide the measurement science to support the development of industry-consensus standards and guides related
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classification of scientific publications by their relevancy have been done at TRC. A successful applicant is expected to have a strong background in computer sciences, particularly in AI, NLP, and ML. No specific