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work is anticipated in the areas of microresonator design, engineering biology/biomanufacturing, dioxygen imaging in 3D cell culture, and structural biology methods development. Knowledge of microwave
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. Opportunities exist for (1) the development of simple yet accurate modeling approaches that enable rapid collapse analysis of large structural systems, (2) comparison and quantification of the progressive
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) to develop new imaging and metrological capabilities for studying nanoscale electronic properties. In particular, we are interested in combining time-resolved optical techniques with our microwave methods
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Consortium led to the development of the first NIST RMs in this class, with widely-used benchmark germline variant calls for seven human cell lines [1]. Artificial intelligence and machine learning hold
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301.975.3438 Description NIST has developed an integrated measurement services program for forensic and cannabis (hemp and marijuana) laboratories to help ensure the quality of routine analysis of cannabis plant
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further enriches the available data from which material behavior can be extracted. Separate work is being done to develop robust algorithms to quantitatively compare the physical and simulated experimental
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augmented intelligent solutions that monitor, diagnose, and predict process performances to optimize production quality and yield. Proposals are welcome to develop augmented intelligent solutions
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their processes. Smart machine tools assess and predict their health and the performance of their processes in real time to optimize production quality and yield. Proposals are welcome to develop
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edward.sisco@nist.gov 301 975 2093 Description This opportunity focuses on developing new methods, metrics, approaches, and techniques for the forensic analysis of seized drugs. Seized drug analysis is the most
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@nist.gov 301.975.4127 Description This research is centered on the development and application of analytical methods to the characterization of nanomaterials. Opportunities exist to study the composition