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reconstruction using Fourier domain optical normalization." Light-Science and Applications 5: el 60389, 2016. http://dx.doi.org/10.1038/Isa.2016.38 Henn MA, et al: "Optimizing the nanoscale quantitative optical
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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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NIST only participates in the February and August reviews. Computer-based tools, including the NIST Alternatives for Resilient Communities model, or NIST ARC, are being developed to support
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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 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 Autonomous experimentation and machine learning of material properties Location Material Measurement Laboratory, Materials
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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 Digital Twin of Breath Devices for Forensics and Health Metrology Location Material Measurement Laboratory, Applied
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with high-speed and energy-efficient InP and GaN chips. This research opportunity at NIST’s Communications Technology Laboratory is focused building the tools and techniques that are required to design
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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