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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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Computational Mathematics Division opportunity location 50.77.11.C0256 Gaithersburg, MD NIST only participates in the February and August reviews. Advisers name email phone Paul Nathan Patrone paul.patrone
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. The NIST channel sounding measurement team specializes in the development and use of instrumentation in the 10s of GHz based on phased array antennas that is optimized to capture dynamically evolving
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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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Information Technology Laboratory, Applied and Computational Mathematics Division NIST only participates in the February and August reviews. Machine Learning (ML) and artificial intelligence (AI
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://jarvis.nist.gov/) infrastructure uses a variety of methods such as density functional theory, graph neural networks, computer vision, classical force field, and natural language processing. We are currently
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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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qubits. These efforts are necessary to improve the scalability of the silicon spin qubit platform [2]. Initial efforts in autonomous tuning will focus on optimizing readout systems, shifting to the gate
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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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. Developing advanced machine learning models and physics-informed algorithms for analyzing high-speed XRD data and phase transformation kinetics assessment. Applying the insights gained to optimize AM