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NIST only participates in the February and August reviews. In recent years, there have been significant efforts to develop magnetic nanoparticles for biomedical applications. This has included work
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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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. 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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8353 Christopher L. Soles christopher.soles@nist.gov 301.975.8087 Description To enable the use of novel materials in fiber reinforced composites, an unprecedented effort must be launched to develop
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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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activated defect evolution, material damping, and temperature dependence of physical properties of piezoelectric materials. During the past two decades, innovative single-crystalline piezoelectric materials
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301.975.3507 Description Recent developments in Artificial Intelligence (AI) have allowed machine learning models to solve certain complex problems in natural language processing and other areas at large scales
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calculation of the thermodynamic and transport properties of gases for use as standards. Areas of particular interest include the development of next-generation standards for measuring temperature, pressure
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We develop and utilize state-of-the-art experimental and computational techniques to acquire, evaluate, and correlate thermodynamic data of standard reference quality with a particular emphasis on
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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