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topics include 1) the development of measurement methods and techniques to collect, sample, and characterize release material from nanocomposites under various use scenarios to aid downstream hazard
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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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cell is alive or dead, is a critical and challenging measurement. Our goal is to develop advanced methods for rapidly, accurately and quantitatively measuring the viability of mixed microbial populations
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measurement traceability to the SI (unit Bq) by expanding on traditional gas counting capabilities and developing new methods to meet outstanding challenges. In particular, we seek to develop absolute assay
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, speciation). The project will focus on the design and development of front-end techniques, devices, and platforms with the potential to directly sample, or separate, analytes from complex matrices (e.g., dirt
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materials that can enable rapid recovery of building function following an earthquake. Opportunities include the following: (1) developing nonlinear structural models and conducting seismic structural
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Ravel bruce.ravel@nist.gov 631.344.3613 Description Develop methods of applying machine learning and artificial intelligence to synchrotron experimentation. This opportunity will be focused on operations
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reagents and biomolecules have been hampered by a lack of robust and quantitative measurement techniques, particularly when available fluid volumes are limited. To address these issues, we have developed
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quantitation of the effects of environmental context and evolution. The Group aims to advance fundamental understanding, improve predictability for design, ensure reproducibility and comparability, 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