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to the number of available experimental restraints. In this project we aim to maximally regularize the derived ensemble of models by determining multi-dimensional probability distribution functions
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landscapes for promoter activity based on steady state population distributions and measures of fluctuations in individual cells. We have previously applied Langevin/Fokker Planck equations to predict rates
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solids (and associated kinetics and thermodynamics) and relevant heat/mass transport properties. To address this need, the NIST Fire Research Division has been developing experimental and analytical tools
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on the presence and distribution of such strains. Many other high-impact studies are possible using techniques (both in situ and ex situ ) such as TEM, AFM, SEM, and X-ray diffraction on single crystals
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chromatography, hydrophobic precipitation and tangential flow filtration, etc. are also utilized [3]. Current approaches for characterizing the particle size distribution and/or particle number concentration
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-based and data-driven prediction models are often impractical for operational use due to unrealistic assumptions, limited data availability, and prohibitive computational costs. To address
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RAP opportunity at National Institute of Standards and Technology NIST Modeling Complex Microstructures Location Information Technology Laboratory, Applied and Computational Mathematics Division
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. Analytical biochemistry plays a significant role in optimization of the production process, testing and clearance of associated impurities, and characterization of product- and process-related variants
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. The research associate would primarily work on commissioning a DES system using TES-based detectors being made in the NIST microelectronics cleanroom facility. The associate would have the opportunity to work
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Radioactivity Group has a rich history of contributions in the realm of precise nuclear structure and radioactive decay data. An Associate is sought to take advantage of our unique facilities to perform