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RAP opportunity at National Institute of Standards and Technology NIST High-performance Computing and Data Visualization for the NIST Fire Dynamics Simulator Location Engineering Laboratory
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method that performs well across all types of microbial samples is very challenging. The difficulty increases considerably when quantifying microbial mixtures, which are increasingly relevant for many
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, robotics), cyberinfrastructure (e.g., databases, high-performance computing, collaboration tools), and humans (e.g., scientists, engineers, students, managers). The recent interest in Explainable AI (XAI
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position or our work. Additive Manufacturing; High-Speed X-ray Diffraction; Phase Transformation; Machine Learning; Structure-Process-Performance Relationships; Nonequilibrium; Metastable phases; Physics
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potentially competing performance goals. Achieving these goals requires the development and application of technologies, such as high performance building envelopes and advanced cooling and ventilating systems
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are seeking researchers to contribute to the development and application of advanced measurement and automation techniques for exploring processing-structure-property-performance (PSPP) relationships in
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operating frequencies above 100 GHz are used in a wide variety of applications—examples include radio astronomy, climate monitoring, mm-wave imaging, and high-speed wireless data relays. The main method
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NIST only participates in the February and August reviews. There is a growing need for high-performance materials for various technological applications. To address this need, the NIST-JARVIS (https
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Laboratory with the Synchrotron Science Group and involve occasional travel to Gaithersburg, MD. The candidate would be responsible for planning and performing high-throughput XAS, XRF, and XRD measurements
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NIST only participates in the February and August reviews. With the advent of the silicon drift energy dispersive X-ray detector (SDD/EDS), enhanced opportunities for high precision and accuracy