120 web-programmer-developer-"https:"-"UCL"-"U.S"-"PhD-Jobs"-"https:" positions at NIST
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Machine Learning-driven Autonomous Systems for Materials Discovery and Optimization NIST only participates in the February and August reviews. We are developing machine learning-driven autonomous
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prediction. In collaboration with NASA, NOAA, and the USGS, NIST develops technology to advance the calibration and characterization of ground- and space-based infrared, optical, and temperature sensors
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on gas storage and separation in these materials, but also help us to rationally develop the next generation of flexible materials. References H. Yang, et al. "Visualizing structural transformation and
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this opportunity, we will investigate the electronic properties of candidate quantum materials or organic (molecular) semiconductors. We will use and develop measurement approaches to determine key electronic
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research in high-impact science and engineering fields that utilize vapors, liquids, and aerosols. Our experimental scientists focus on developing fundamental measurements and novel methodologies that can
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, are promising emerging manufacturing technologies for producing complex and highly-customized parts. These processes have been in development over the past 15+ years and their capabilities have grown
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synthesis and the development of complex fluids is important to a number of industrial applications. Many diagnostic assays use the temperature dependence of different analytes as a diagnostic tool. For
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to understand dynamic changes within microbiomes or to design interventions (e.g., modeling algal blooms, improving human health or crop yields, bioremediation). This project seeks is to develop measurement
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NIST only participates in the February and August reviews. We are developing machine learning algorithms to accelerate the discovery and optimization of advanced materials. These new algorithms form
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opportunities are available in developing integrated nanophotonic architectures and devices for realizing compact, efficient, accurate and dynamic quantum AMO systems-on-a-chip. By creating a set of scalable