220 data-"https:" "https:" "https:" "https:" "https:" "https:" "Aix Marseille Université" positions at NIST in United States
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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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RAP opportunity at National Institute of Standards and Technology NIST Materials for Quantum Information Applications Location Physical Measurement Laboratory, Applied Physics Division
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RAP opportunity at National Institute of Standards and Technology NIST Enabling Science from Big Microscopy Image Data Location Information Technology Laboratory, Software and Systems Division
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of products that incorporate billions of nanoscale features. Recent publications report our scatterfield microscopy techniques in which extensive electromagnetic modeling, instrument characterization, and data
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RAP opportunity at National Institute of Standards and Technology NIST Data-Driven Technologies for Fluid Property Simulation Location Material Measurement Laboratory, Applied Chemicals and
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RAP opportunity at National Institute of Standards and Technology NIST Coupling electronic structure methods, artificial intelligence, and data-driven approaches for next-generation quantum
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RAP opportunity at National Institute of Standards and Technology NIST Atom and Neutron Interferometry Meet Quantum Information Theory Location Physical Measurement Laboratory, Radiation Physics
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RAP opportunity at National Institute of Standards and Technology NIST Engineering Atoms for Fundamental Constants and Atomic Data Location Physical Measurement Laboratory, Quantum Measurement
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RAP opportunity at National Institute of Standards and Technology NIST Metrology for Needed Nuclear Structure and Radioactive Decay Data Location Physical Measurement Laboratory, Radiation
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microstructural characterization, and opportunities focused on acoustic nondestructive evaluation of existing structures. We apply fracture mechanics and materials science principles to model data, furthering