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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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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 Autonomous experimentation and machine learning of material properties Location Material Measurement Laboratory, Materials
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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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classification of scientific publications by their relevancy have been done at TRC. A successful applicant is expected to have a strong background in computer sciences, particularly in AI, NLP, and ML. No specific
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Computational Investigation of Flexible Metal-Organic Framework Materials for Gas Storage and Separation NIST only participates in the February and August reviews. Flexible metal-organic frameworks
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RAP opportunity at National Institute of Standards and Technology NIST Complex Systems and Networks: Performance, Control, and Security Location Information Technology Laboratory, Applied and
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RAP opportunity at National Institute of Standards and Technology NIST Durability of Concrete Materials Containing Reactive Minerals in the Aggregate and Concrete Location Engineering Laboratory
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variables. Computer-controlled equipment is available for alternating-current magnetic-susceptibility measurements as a function of frequency, temperature, and magnetic field. An automated vibrating sample
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properly integrating the various components. Measurement needs now being defined by the energy, homeland security, environmental, and health-care sectors are challenging sensor-science researchers to develop