83 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at NIST in United States
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are critical for attaining measurement quality objectives and meeting the needs of the health and medical community. The isotope metallomics program at NIST focuses on analytical method development, rapid
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variables. Computer-controlled equipment is available for alternating-current magnetic-susceptibility measurements as a function of frequency, temperature, and magnetic field. An automated vibrating sample
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measurement to support a DARPA program on “Tailorable Composite Feedstock and Forming”. This project will involve dc to 110 GHz complex permittivity and permeability characterization with on-wafer techniques
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an integrated web-portal. A successful applicant will have extensive skills in data informatics and programming. Some of the programming skills required include web-based markup languages, experience with SQL
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, E.A. Lass, J.C. Heigel, Y. Idell, M.E. Williams, A.J. Allen, J.E. Guyer, L.E. Levine, Acta Mater., 139 (2017) 244-253. Additive manufacturing; Metals; Phase transformations; CALPHAD; DFT; Computational
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of solvation, redox potentials, pKa, spectroscopic observables, enzyme kinetics, etc) for these processes provide a rigorous framework for the validation of novel computational methods. Computational methods
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NIST only participates in the February and August reviews. The design and operation of sustainable buildings face multiple challenges to meet energy efficiency, indoor air quality and other potentially competing performance goals. Achieving these goals requires the development and application of...
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of prior physics knowledge into the data analysis, including both physics theory and databases of experimental and computational materials property data. We currently run 10 diverse autonomous platforms
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NIST only participates in the February and August reviews. This program is designed to support the design, construction, and operation of high-performance sustainable buildings with good indoor
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Information Technology Laboratory, Applied and Computational Mathematics Division NIST only participates in the February and August reviews. Machine Learning (ML) and artificial intelligence (AI