450 computer-science-intern "https:" "https:" "https:" "https:" "The University of Manchester" positions at NIST
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RAP opportunity at National Institute of Standards and Technology NIST Models and Protocols for Accelerated Simulations of Molecular Interactions and Dynamics Location Information Technology
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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 measurements have opened up[1]. Unfortunately though, few people are making full use of the...
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RAP opportunity at National Institute of Standards and Technology NIST Incorporating Theory and Domain Knowledge into the Machine Learning of Polymeric Systems Location Material Measurement
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RAP opportunity at National Institute of Standards and Technology NIST Chip-scale atomic magnetometers Location Physical Measurement Laboratory, Time and Frequency Division opportunity location
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RAP opportunity at National Institute of Standards and Technology NIST Integrated Quantum Nanophotonic Systems Location Physical Measurement Laboratory, Applied Physics Division opportunity
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access to. Qualified candidates will have a background in electron microscopy or a relevant branch of computer science. key words Scanning transmission electron microscopy; Nanocharacterization; Electron
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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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at NIST and external collaborators, a successful candidate will extend our recently developed ML-driven autonomous systems for state assessment, calibration, and control of quantum information science
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RAP opportunity at National Institute of Standards and Technology NIST Digital Twin of Breath Devices for Forensics and Health Metrology Location Material Measurement Laboratory, Applied
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RAP opportunity at National Institute of Standards and Technology NIST Autonomous experimentation and machine learning of material properties Location Material Measurement Laboratory, Materials