141 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Keele-University" positions at NIST
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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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in various research activities related to computing and information technology. Specific areas of interest include intelligent medical devices; signal/data collection and processing from various
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output properties. These approaches often ignore material characterization information and/or proper information-rich AI surrogate models (thereby having no capability for uncertainty quantification (UQ
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andrei.kazakov@nist.gov 303.497.4898 Description Empirical correlations derived from existing experimental data have always played an important role in thermophysical property estimation. These empirical
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machine tools that are self-aware via on-machine measurements and diagnostics, to track the machine’s performance health. Furthermore, solutions must be non-invasive, data-rich, inexpensive, and accurate
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301.975.4579 Description As the demand for high resolution, high content imaging increases, the cost and challenges of acquiring, storing, processing, and analyzing today’s very large imaging data sets are even
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demonstrating the capabilities and utility of transcriptomic and proteomic techniques in diverse species, making data available and creating programmatic tools for comparing between species. Additionally
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are developing microfluidics to measure material properties and structure. Protein, polymer and surfactant solutions and suspensions and emulsions are being characterized using computer-controlled microfluidic
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sophisticated potential energy functions and adequate sampling to reveal the associated, intricate molecular details. In addition to being centrally important, high-quality experimental data (free energy
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dynamics prediction in various environments. key words Molecular dynamics simulations; Parallel algorithms; Spatial data structures; Bioinformatics; Eligibility citizenship Open to U.S. citizens level Open