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. To embrace these changes, this project will develop a shared calibration service, where NIST and the customer share broadband integrated-circuit calibration artifacts, protocols, software, and data through
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are developing machine learning-driven autonomous metrology research systems, with the goal of accelerating the development of self-correcting photonic and quantum sensor networks. These systems combine machine
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Description We are using innovative processing to develop novel superconducting materials with enhanced properties for quantum circuit applications. Critical elements for development of these materials
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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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, plays an important role at NIST in the development and interpretation of new measurement techniques, as well as aiding the understanding of the behavior of new materials in existing measurements. In
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research program focuses on engineering these nanoparticles with desired physical and chemical properties and specified functionality through wet-chemistry synthesis. We are particularly interested in
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301.538.9058 Description Generation, control and detection of optical radiation either spectrally, temporally, or spatially is fundamental to optical technologies. Developing a versatile, manufacturable, and
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chemistry which provides certified reference materials for pH and acidimetric measurements. We are recruiting applicants to advance our electrochemistry reference materials program to support the development
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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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systems as well. Unique capabilities in our group include the ability to heat single biomolecules with IR laser light to study T dependent kinetics and thermodynamics relevant to evolution of thermophilic