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; Early detection; Gene expression; High throughput sequencing; micro RNA; Microfluidics; Molecular biology; Multiplexed bioassays; Next generation sequencing; Single-cell assays; Eligibility citizenship
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length scales allowing for the two classes of systems to work together in new and interesting ways. We are interested in using the unique physics of fluid flow, mass transfer, heat transfer, and reaction
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NIST only participates in the February and August reviews. This suite of projects seeks to advance the microbial metabolomics infrastructure through the development of new analytical methods, including data analysis and novel statistical approaches. We are particularly interested in...
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of failure strengths are needed to ensure reliability and maximize performance. We use numerous modeling approaches to explore the mechanical and electrical behavior of deforming nanoscale systems. Current
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RAP opportunity at National Institute of Standards and Technology NIST Applied Mathematics of Soft, Fluid, and Active Matter Location Information Technology Laboratory, Applied and Computational
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loading behavior. The Kolsky Bar, also known as the Split Hopkinson Bar, is a common technique for studying the high strain rate behavior of materials. Novel improvements to this technique include the use
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NIST only participates in the February and August reviews. The Applied Economics Office (AEO) at NIST works closely with the NIST Community Resilience Program (CRP) and external collaborators
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, and complete products of combustion) will be performed. Comprehensive data sets of this type have not been previously reported for full-scale enclosure fires. The chemical data will be augmented by
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RAP opportunity at National Institute of Standards and Technology NIST Applied Optimization and Simulation Location Information Technology Laboratory, Applied and Computational Mathematics
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measurements at 18-digit accuracy using an optical clock network. Nature 591, 564–569 (2021). https://doi.org/10.1038/s41586-021-03253-4 [2] Chave, A. D. (2019). A multitaper spectral estimator for time-series