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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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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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, and algorithm design for inferring conclusions from multiple sources of information. Uncertainty quantification and propagation is vitally important such autonomous workflows, as is the development
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Sonmez Turan meltem.turan@nist.gov 301.975.4391 Description NIST standardized cryptographic algorithms are intended to be "bulletproof". That is, the computational complexity needed to break them is
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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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-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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. 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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NIST only participates in the February and August reviews. The development of therapies and other products based on pluripotent stem cells requires control of the pluripotent and differentiated
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phases. This research will integrate a variety of modeling tools across multiple time and length scales to predict the microstructure evolution during the AM build process and post build thermal