23 linked-data "https:" "https:" "https:" "https:" "https:" "UCL" scholarships at NIST
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tools to enhance and automate beamline operations. Some example applications might include evaluation of data quality, assistance to beamline and experimental configuration, data analysis worklows, and
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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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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST High-performance Computing and Data Visualization for the NIST Fire Dynamics Simulator
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software packages) is encouraged to improve reproducibility and to increase usage by the community. [1] https://doi.org/10.1039/C9SM01877H [2] https://doi.org/10.1063/1.5123683 [3] https://doi.org
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mechanism and the charge transport in thin dielectric films deposited on graphene using a non-contact microwave technique ( https://dx.doi.org/10.1021/acs.jpcb.9b11622 ) and monolayer graphene ( https
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an autonomous platform for developing and testing novel MOF materials for applications in carbon capture (https://doi.org/10.1016/j.xcrp.2022.101063). Successful candidates must have a background in
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Keenan [email protected] 303.497.3665 Karl Francis Stupic [email protected] 303.497.4564 Description Neural net systems have been developed to process magnetic resonance imaging (MRI) data
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analysis, where experiment design is guided by active learning, Bayesian optimization, and similar methods. A key challenge is the integration of prior physics knowledge into the data analysis
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, impairment indicators from other types of drugs are less facile to determine. This is due in part to a dearth of fundamental property data and a lack of measurement infrastructure for difficult to
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make time-critical decisions under extreme uncertainty, with limited real-time analytical support. Existing physics-based and data-driven prediction models are often impractical for operational use due