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RAP opportunity at National Institute of Standards and Technology NIST Metabolomic and Lipidomic Research: Emphasizing Advanced Data Analysis, Metabolite/Lipid Annotation, and Functional Pathway
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Application of Artificial Intelligence Techniques for Acquisition and Analysis of Thermophysical and Thermodynamic Property Information NIST only participates in the February and August reviews
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NIST only participates in the February and August reviews. Superconducting qubits are among the leading hardware platforms for quantum information processing, but the lack of sufficient qubit
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, or techniques that will speed up analysis times, provide increased information to the chemist, and/or simplify data interpretation while enhancing data quality. One of the goals of the forensic program at NIST is
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advancing our new and improved method for the analysis of clock data using a multitaper spectral analysis approach [2]. The fundamental methodology around frequency stability analysis of clock data hasn’t
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also provide information of interest in criminal investigations, such as improved ability to identify individuals; prediction of an unknown individual’s ancestry, hair/eye color, or age; and non-human
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shocks and stressors). This research effort relies extensively on modeling and optimization, with consideration for field data collection, and statistical and geospatial data analysis. Informed by
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recognition; Multivariate statistics; LC-MS analysis; Computer programming; Data analysis; Chemometrics; Principal component analysis; D-partial least squares; Eligibility citizenship Open to U.S. citizens
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weakness and vulnerability datasets and multidimensional vulnerability classifications. It also enables the development of new algorithms for code analysis and the use of AI models and formal methods
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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