239 data-"https:" "https:" "https:" "https:" "https:" "https:" "P" "LaTIM Brest" uni jobs at NIST
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metabolomics. Our studies focus on developing new mass spectral data analysis algorithms (e.g., clustering) to better solve the common key persistent problems arising from factors such as mass shift and peak
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techniques to study hydrogen locations and dynamics in materials necessary for advancing the Hydrogen Economy. Detailed information on hydrogen locations and binding potentials in a lattice is extracted as a
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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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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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algorithms to improve methods for peptide identification from raw mass spectral data. The use of orthogonal information such as multi-enzyme digestions, to verify the presence of a peptide using different
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and novel data-processing tools need to be developed to embrace these new techniques and further elevate their capabilities. Instrumentation available for this research includes ion trap, Orbitrap, and
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), p.eadu7426. Kusne, et al., 2020. On-the-fly closed-loop materials discovery via Bayesian active learning. Nature communications, 11(1), p.5966. Kusne, et al., 2024. Learning material synthesis–process
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a premier tool for probing atomic dynamics, yet extracting physical insights from experimental data remains a significant computational challenge. Traditional methods—Empirical Force Fields and
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considerable amount of data of the standard biological fluids on different LC-MS platforms and in-house software has been developed for chromatography alignment, spectral similarity, peak deconvolution, and
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Science Division opportunity location 50.64.31.C0217 Gaithersburg, MD NIST only participates in the February and August reviews. Advisers name email phone Thomas P Forbes thomas.forbes@nist.gov 301.975.2111