177 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Göteborgs-universitet" positions at NIST
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extractions; mass spectrometry; and capillary electrophoresis. Other forensic-related applications of these techniques to the development of methods and/or standards are encouraged. key words Chromatography
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Poppendieck dustin.poppendieck@nist.gov 301.975.8423 Description This program is designed to provide the measurement science to support the development of industry-consensus standards and guides related
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development of advanced models for the prediction of the above physical properties in such solid solutions. We use first-principles density functional theory calculations to uncover the microscopic physics
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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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Description We are using innovative processing to develop novel superconducting materials with enhanced properties for quantum circuit applications. Critical elements for development of these materials
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, (2) interpretation of experimental spectra, (3) development of semi-empirical methods, (4) studies of reactivity indices, (5) computational electrochemistry, and (6) chemical informatics. The explosion
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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