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security, the purpose of control is optimization of the corresponding trade-offs. In a situation of complex systems comprised of selfish elements, control should take advantage of market mechanisms, which
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) assessment of laboratory quantum systems. The candidate will develop custom optimization algorithms that combine ML with domain knowledge to establish fully automated control protocol. The proposed protocols
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biochemistry plays a significant role in optimization of the production process, testing and clearance of associated impurities, and characterization of product- and process-related variants. The bioanalytical
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relate to and inform uncertainty estimates. Our current research addresses such problems by combining physics with tools from applied analysis, probability theory, asymptotics, optimization, and numerical
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optimization for large-scale fabrication of diamond-based devices such as HMFETs and radiation detectors. In particular, the transfer doping of hydrogenated diamond is used to form 2D hole gas (2DHG) conducting
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increasingly clear that Machine Learning/AI are having great impacts across a number of fields of physics. This research opportunity revolves around applying these techniques towards optimizing experimental
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NIST only participates in the February and August reviews. In many application areas, materials development increasingly involves manipulating the local atomic order to optimize properties
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for biopsies and organoid growth. The primary focus will be on optimizing the integrated hyperpolarizer, gradient system, FPGA based imaging console, and bioreactor functionality. 1. Berweger S
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DFT, beyond-DFT, and experimental techniques. We are also interested in developing both forward and inverse machine learning models to accelerate and optimize the design processes. We work in close
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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