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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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and build upon NIST's repertoire of instruments, facilities, ongoing research, and interdisciplinary network of scientists and engineers involved in this subject. Applicants may tailor their proposals
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upon NIST's repertoire of instruments, facilities, ongoing research, and interdisciplinary network of scientists and engineers involved in this subject. Applicants may tailor their proposals to make use
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suitable statistical tools which allow clock scientists to properly analyze data with gaps. Additionally, we aim to provide comprehensive documentation to facilitate the successful adaptation and
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provides computational resources and has an interest group for AI that regularly meets, giving the successful applicant an opportunity to interact with a variety of NIST engineers and scientists. Smart
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research in high-impact science and engineering fields that utilize vapors, liquids, and aerosols. Our experimental scientists focus on developing fundamental measurements and novel methodologies that can
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Description We work with scientists in other NIST laboratories to develop tools for computer simulation and analysis of magnetic systems at the nanometer scale. Model verification is achieved by comparison
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RAP opportunity at National Institute of Standards and Technology NIST Creating Computational Techniques to Investigate the Ensemble Structures of Flexible Proteins In Combination with Neutron
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on developing autonomous ML-driven systems for measurement, calibration, and control of quantum systems and quantum computing platforms. Working closely with scientists in the Physics Measurement Laboratory
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computational platforms, prevent scientists from advancing in their domains. The challenges include the facts that (1) microscopy image acquisition generates terabyte-sized images that are typically stored as