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through the application of machine learning, intelligent optimization techniques, automated fault detections and diagnostics, automated commissioning tools, and management of local generation and flexible
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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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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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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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measurements from incident electrons through to detected X-rays Spectrum processing (particularly low energy lines) Weights of lines and other critical physical parameter measurements Measurement optimization
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be generating terabytes of image data per day, there are several open research problems that would become the research focus of a postdoctoral candidate. The problems include (a) finding optimal
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. The postdoc will develop machine learning algorithms to analyze phenotype and sequence data, as well as active learning algorithms to optimize and control experiments in directed evolution. This position
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chemical species and ligands that may bind a given adsorbate more or less favorably. These variations allow enormous potential for optimizing physical properties, such as the selective adsorption of one
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-acquisition circuitry, and signal-processing/pattern-recognition algorithms. The sensors must be tailored for the particular nature of a given chemical or biochemical measurement problem by optimizing and
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, characterize, and optimize interconnects between disparate chip technologies. Applicants will have the opportunity to learn high-demand skills for millimeter-wave technologies including calibration, integrated