83 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at NIST
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resulting polyplex structure. Advancing data analysis methods and instrumentation are important to this opportunity. (1) McKinlay, C. J.; Vargas, J. R.; Blake, T. R.; Hardy, J. W.; Kanada, M.; Contag, C. H
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NIST only participates in the February and August reviews. This research opportunity is focused on developing advanced chemical characterization and analytical chemistry tools, data and research
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-based and data-driven prediction models are often impractical for operational use due to unrealistic assumptions, limited data availability, and prohibitive computational costs. To address
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; Microelectronics; Machine learning; Data informatics; Physics; Terahertz; Metrology; Chemistry; Materials engineering;
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characterization, microstructural analysis, modeling, and/or data science to reach out and apply, as a variety of perspectives will be invaluable in advancing our understanding of material behavior and design. We
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are interested in project ideas that focus on the development and application of measurement techniques, physics-based or data-driven models, and standards to better understand and improve metals-based AM. Our AM
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; Precision medicine; Data science; Artificial intelligence
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. The bioanalytical science group is directed toward developing a suite of fundamental measurement science, technology, standards, and reference data to enable more accurate and confident characterization of key
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simulation, complementary biophysical techniques such as surface plasmon resonance, and advanced data analysis techniques, neutron reflectivity has proven to have unique advantages for studying the structural
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incorporating acoustic techniques is a current project focus, requiring new cross-disciplinary approaches to adapt established acoustic techniques to be compatible with, and provide additional information