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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Metabolomic and Lipidomic Research: Emphasizing Advanced Data Analysis, Metabolite/Lipid
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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Coupling electronic structure methods, artificial intelligence, and data-driven approaches
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In Combination with Neutron Scattering Data Location Material Measurement Laboratory, Biomolecular Measurement Division opportunity location 50.64.51.C0789 Gaithersburg, MD NIST only participates in
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analytical methods, including data analysis and novel statistical approaches. We are particularly interested in characterizing microbial cells in the planktonic state as well as communities of cells
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. Silverman, S.W. Nam, S. B. Papp, and R. P. Mirin, "Heterogeneous tantala photonic integrated circuits for sub-micron wavelength applications," Optica 12, 585-593 (2025), https://doi.org/10.1364
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opportunities to express scientifically meaningful results. Data at NIST spans a wide range from nano to cement to models that exhibit complex dynamics. This research will build on open source software
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Sintering: Progress, Challenges, and Future Opportunities, Ann. Rev. Mater. Res. 49, 275-295 (2019). https:// doi.org/10.1146/annurev-matsci-070218-010041 . 2. C. Wang, W. Ping, Q. Bai, H. Cui, R
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comparing results temporally or between laboratories. This project seeks to provide metaproteomic data related to standardized materials, benchmark bioinformatics workflows of standardized data, and
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Keywords High-throughput; Microelectronics; Machine learning; Data informatics; Physics; Terahertz; Metrology; Chemistry; Materials engineering; Eligibility citizenship Open to U.S. citizens level Open
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accurate property data for actual fuel mixtures, which may consist of components that are chemically very dissimilar. We are exploring new approaches in measurements and modeling to meet these