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color centers for novel quantum sensing and information processing applications at the single photon level. Applicants should have experience in one or more of the following areas: nanofabrication
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, including data analysis and novel statistical approaches. We are particularly interested in characterizing microbial cells in the planktonic state as well as communities of cells. We are seeking researchers
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, and complete products of combustion) will be performed. Comprehensive data sets of this type have not been previously reported for full-scale enclosure fires. The chemical data will be augmented by
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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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or algorithms for detection of the drug signal in complex mass spectral data and chemometrics for identification or classification of drug(s) is also of high interest.Through this opportunity, collaboration with
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of aqueous chemical models, incorporated into computer codes, for both pure and applied research that include industrial chemistry, chemical engineering, water treatment, hydrometallurgy, toxicology, medical
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mechanical parts and assemblies (SolidWorks experience is preferable), experience with developing VI’s in LabVIEW, and experience with data and image processing (MATLAB experience preferable). [1] Huang, W
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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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@nist.gov 301 975 2093 Description This opportunity focuses on the development of analytical methods and/or data processing techniques that could be used to advance drug detection and identification (or drug
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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