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NIST only participates in the February and August reviews. A Bose-Einstein condensate (BEC) of a dilute gas is a unique quantum system with many atoms occupying the same quantum state of both
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extensive internal and external collaborations, providing access to a full range of state-of-the-art materials characterization and computational modeling capabilities. The results will have broad
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the development of analytical methodologies, from both instrumentation and informatics standpoints, for the multifaceted and convoluted data that are obtained from complex biological, chemical, and forensic samples
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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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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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for critical applications that require qualification and certification—increasingly require that computational models and in-situ monitoring of such processes be experimentally validated under highly controlled
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accurate measurements during emergencies, such as those encountered in pre- or post-detonation scenarios. The nuclear forensics program at NIST focuses largely on analytical method development, new and
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are critical for attaining measurement quality objectives and meeting the needs of the health and medical community. The isotope metallomics program at NIST focuses on analytical method development, rapid
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NIST only participates in the February and August reviews. We work in close collaboration with the electronics and ancillary industries on their long-term metrology needs. For example, emerging integrated devices architectures, such as three-dimensional integrated circuits (3D-ICs), are poised...
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NIST only participates in the February and August reviews. As of today, there is a plethora of cyber-physical instruments consisting of physical sensing (e.g., microscopy imaging) and cyber (digital) Artificial Intelligence (AI)-based predictions. These instruments raise concerns about safety...