218 computer "https:" "https:" "https:" "https:" "Robert Gordon University" positions at NIST
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quantum methods to improve sensitivity of DCS References: https://www.nist.gov/programs-projects/greenhouse-gas-and-atmospheric-trace-gas-measurements Cossel, K. C., Waxman, E. M., Giorgetta, F. R., Cermak
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, analysis (liquid and/or gas chromatograph-mass spectroscopy Fire Research 1. developing, using, and deploying multiscale fire testing and computational tools to reduce the fire hazard of building content
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energy scale for dynamic impact (Charpy) testing, which is critical to ensuring performance of structural steels. Please visit our websites at https://www.nist.gov/mml/acmd/fatigue-and-fracture-group and
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are encouraged to submit research proposals on the following topics: DFT and MD for computational dielectric spectroscopy Properties of electrochemical double layer (effects on the local polarization, structure
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controls. The position will require programming skills, mostly with Python. To understand the vision of beamline operations inspiring this opportunity, see these two recent publications: https://doi.org
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absorption fine structure), development of data-analysis approaches and computer software for simultaneous structural refinements using multiple types of data combined with ab initio theoretical modeling
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Research." Metabolites 9(7). 3 - https://doi.org/10.6028/NIST.IR.8451 Researchers: Aaron Urbas (aaron.urbas@nist.gov ), Sandra Da Silva (sandra.dasilva@nist.gov ), Ben Place (benjamin.place@nist.gov ) and
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dielectric films deposited on graphene using a non-contact microwave technique ( https://dx.doi.org/10.1021/acs.jpcb.9b11622) and monolayer graphene ( https://dx.doi.org/10.1021/acs.jpcb.9b11622 ) as a
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on developing predictive tools for ceramic AM by combining computational and experimental approaches to study fundamental material processes during direct-ink writing and post-processing of ceramic parts. We
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mass spectrometry; and advanced chemometric tools for the analysis, interpretation, and comparison of complex metabolomic data sets. https://www.nist.gov/programs-projects/metabolomics-quality-assurance