219 evolution "https:" "https:" "https:" "https:" "https:" "University of Warwick" positions at NIST
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may lead to developing techniques for the quantitation of polar and nonvolatile analytes in complex matrices. We are also interested in development of the quantitative potential of LC/MS/MS and MALDI
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and data-driven models [2, 3]. Metric Identification: Identifying key quality metrics for various "digital objects" throughout the ICME development lifecycle. Uncertainty Quantification & Propagation
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related botanical materials. Research topics include (1) development of liquid chromatographic (LC) separations of plant constituents, with detection by absorbance, fluorescence, electrochemical, and/or
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, oxidation, and mechanical wear of chain scission in fibers are required to support the development of predictive models. This project seeks to utilize and develop novel chemical and mechanical techniques
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activated defect evolution, material damping, and temperature dependence of physical properties of piezoelectric materials. During the past two decades, innovative single-crystalline piezoelectric materials
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, commercial qNMR standards have only appeared in the last few years. We seek proposals related to the development of high-accuracy methods or standard reference materials for the analysis of gas-phase mixtures
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complex permittivity and permeability characterization with on-wafer techniques, materials modeling (including finite element simulations, and theory), and the development of mm-wave and microwave
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provides the thermochemical foundation for new noninvasive breath analysis techniques. Law enforcement applications include the development of breath analysis devices for the quantitative measurement of drug
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technology development community and cell line repositories to design reference transcriptome samples, and then develop methods to integrate transcriptome sequencing data from short and long read technologies
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Consortium led to the development of the first NIST RMs in this class, with widely-used benchmark germline variant calls for seven human cell lines [1]. Artificial intelligence and machine learning hold