235 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "Keele University" positions at NIST
Sort by
Refine Your Search
-
provides computational resources and has an interest group for AI that regularly meets, giving the successful applicant an opportunity to interact with a variety of NIST engineers and scientists. Smart
-
quantitative analysis including rheology, DSC, scattering, etc. Concurrently, computational modeling will be used to predict both structure-property relationships and degradation rates based on the number and
-
., 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
-
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
-
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
-
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
-
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
-
Information Technology Laboratory, Applied and Computational Mathematics Division NIST only participates in the February and August reviews. Machine Learning (ML) and artificial intelligence (AI
-
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
-
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