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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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determination of marijuana components, development of vapor measurement technology and canine training aid materials for opioids and improvised explosives, targeted and non-targeted screening of bulk samples and
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prevent a true function-by-design approach to development and manufacturing. We are interested in using analytical theory, large-scale molecular dynamics (MD) simulations, and density functional theory (DFT
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NIST only participates in the February and August reviews. Research on photovoltaics focuses on the development of new and improved device characterization methods for various cell technologies and
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, process, or part qualification and providing benchmarking datasets for model validation to support industry adoption and standards development of metal BJAM. NIST has researched other AM technologies
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(1) development of nanoscale characterization techniques to measure mechanical, chemical, and rheological properties of microscopic volume elements with nanoscale spatial resolution using atomic force
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NIST only participates in the February and August reviews. Research focuses on the development and application of advanced multi-detector separation science techniques. Topics include characterizing
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and stiffness degradation is essential in predicting potential failure modes and reduction in service life of concrete structures. Opportunities exist for (1) development of databases on material and
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challenge to design around. This project will focus on microstructural modeling approaches, including both conventional phase field, phase field crystal; and level set methods, to understand the evolution
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additives, plastic species, and degradation products, among others. This opportunity is focused on the measurement development and subsequent application of mass spectrometry (e.g., pyrolysis-GC-MS, ambient