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NIST only participates in the February and August reviews. The roll out of high-speed, low-latency communications networks is expected to drive economic growth through automation while creating new markets spaces that include self-driving cars and augmented reality. At the hardware level, the...
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NIST only participates in the February and August reviews. The need to reduce building energy consumption is well-established and has been the subject of research for many decades. More recent policy motivations have made building energy efficiency even more pressing. However, energy savings...
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NIST only participates in the February and August reviews. NIST has a long tradition of producing highly impactful Standard Reference Materials (SRMs), which typically have a single certified value or exceptionally well characterized property with known uncertainties. New biological “’omics”...
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center. Applicants are expected to be skilled in one of the programming language such as C++/C, Perl, Matlab, or R, and have majored in Chemistry, Statistics, or Computer Science. Reference Yang X, et al
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using them to demonstrate new applications in quantum information science. We have used radio-frequency interferometry to achieve ultra-sensitive high-speed single-photon detection [Applied Physics
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; Computational microscopy; Dimensional metrology; Optical imaging;
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. These materials systems may have far-reaching applications, extending from neuromorphic computing to compact multiple-input multiple-output antennas. By achieving the aims of this project, this Associate will
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, physical, optical, and thermal properties of WBG semiconductors, including diamond, make these materials among the most prospective for high-frequency power electronics, quantum computing, solar-blind
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, analysis (liquid and/or gas chromatograph-mass spectroscopy Fire Research 1. developing, using, and deploying multiscale fire testing and computational tools to reduce the fire hazard of building content
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NIST only participates in the February and August reviews. The fire modeling community is actively working to develop the tools needed to quantitatively predict material and product flammability behavior (e.g., ignition, burning rate, fire growth). Such predictions require accurate and efficient...