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the rigorous data quality metrics for accurate diagnostics, prognostics, medical biomarkers, and for untangling the mechanisms of disease. The development and delivery of solution-enabling metrology tools
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performance modeling capabilities that simultaneously consider multiple performance aspects, robust IAQ and other performance metrics, and measurement methods, sensors, and data to evaluate and verify building
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of mixed-gas adsorption, and the measurement of related physicochemical properties of porous materials. The FACT Lab seeks to improve the adsorption sciences by providing reference data using reference
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. Opportunities are available in instrument development and automation, astronomical and atmospheric data analysis. Participation in more than one project is possible. Our Current Projects: NIST Stars: Motivated by
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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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example applications might include evaluation of data quality, assistance to beamline and experimental configuration, data analysis worklows, and integration into multi-model and multi-beamline measurement
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property data primarily intended for model development that investigate how the molecular size, molecular structure, and polarity of fuel constituents impacts their thermophysical properties. Measurements
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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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development, microfabricated device design and development, measurement of samples with ultrahigh throughput sequencing and microarrays, and bioinformatic/biostatistical data analysis of the large data sets
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, metrology, and quantum information. Relevant reference examples as 2020: Kaufman et al., Science 345, 6194; Norcia et al., PRX 8, 041054; Norcia et al., Science 366, 6461 key words Quantum many-body systems