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organisms that serve and evolve with their occupants and the world around them. NIST is seeking applicants in the area of building sciences, mechanical/electrical engineering and fields related to our
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RAP opportunity at National Institute of Standards and Technology NIST Johnson Noise Thermometry with Superconductive Waveform Synthesizers Location Physical Measurement Laboratory, Quantum
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-based and data-driven prediction models are often impractical for operational use due to unrealistic assumptions, limited data availability, and prohibitive computational costs. To address
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infrastructure to its limits. Naturally, engineers have pushed existing devices and networks to ever-increasing frequencies in an effort to address this multifaceted problem by improving data rates and adding
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browsing capabilities. A small subset of project relevant publications is listed below. Requirements:A candidate should have at least a master’s degree in computer science or related fields (PhD is preferred
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RAP opportunity at National Institute of Standards and Technology NIST Machine Learning Driven Autonomous Metrology System Location Physical Measurement Laboratory, Sensor Science Division
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such as L-PBF over 10 years, and potential applicants can utilize and build upon NIST's repertoire of instruments, facilities, ongoing research, and interdisciplinary network of scientists and engineers
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of aqueous chemical models, incorporated into computer codes, for both pure and applied research that include industrial chemistry, chemical engineering, water treatment, hydrometallurgy, toxicology, medical