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metabolomics. Our studies focus on developing new mass spectral data analysis algorithms (e.g., clustering) to better solve the common key persistent problems arising from factors such as mass shift and peak
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RAP opportunity at National Institute of Standards and Technology NIST Developing Novel Additive Manufacturing Processing Methods Location Material Measurement Laboratory, Materials Science and
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RAP opportunity at National Institute of Standards and Technology NIST Developing new techniques for studying the underlying mechanisms of hydrogen embrittlement Location Material Measurement
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Development of Nuclear Analytical Imaging Techniques for Materials Analysis with Spatial and Spectral Specificity NIST only participates in the February and August reviews. The objective
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NIST only participates in the February and August reviews. Sorbent materials are candidates for many industrial sustainable development applications, including hydrogen and methane storage, gas
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RAP opportunity at National Institute of Standards and Technology NIST Analytical Methods Development for the Determination of Anthropogenic Contaminants in the Marine Environment Location
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on developing methods, algorithms, data, and tools, to support autonomous experimentation as well as prediction of industry- and/or community-relevant material properties. key words Machine Learning; Artificial
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-eddy simulation and direct numerical simulation of the phenomena. Topics of interest include algorithm development numerical combustion, scientific visualization, and data analysis. key words Buoyancy
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metallic systems and are currently being developed for a variety of ordered metallic systems. These composition dependent mobility descriptions can then be used in conjunction with multicomponent
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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