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NIST only participates in the February and August reviews. The Applied Systems team at the Center for AI Standards and Innovation leverages multidisciplinary methodologies to assess, evaluate, and
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development, microfabricated device design and development, measurement of samples with ultrahigh throughput sequencing and microarrays, and bioinformatic/biostatistical data analysis of the large data sets
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of LC-MS patterns of biological fluids. Previous knowledge and experience of a high-level programming language--preferably C++, Python, or Java and of pattern recognition techniques--to draw statistically
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between concrete and the FRP bond during weathering. These studies provide quantitative data needed to improve building design and understanding of the long-term performance of FRP materials used to repair
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proteins or amyloid beta. key words Biopharmaceutical; Formulation; Infrared spectroscopy; Monolayer structure; Protein stability; Protein structure; Protein-ligand binding; Rational drug design; Structural
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autonomous reasoning and XAI, and would help design and develop software and systems to enable the adoption of KRR technologies within materials science and engineering. The successful applicant does not need
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aptamer conformation changes. Method development efforts should focus on the incorporation of a robust and optimized experimental design aimed at assessing the sources of variability, repeatability, and
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parameter space challenging due to the sheer number of possible compositions. To enable rational design of these materials, we have developed a highly adaptable sample environment that can be programmed
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their metabolites can be found in the breath after smoking or by partitioning from blood in the alveoli of the lungs. This project will involve the design of a surrogate fluid to represent human expired
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the “NIST-on-a-chip” program, we are designing and building chip-scale accelerometers as field-deployable SI-traceable standards. The accelerometers employ a micromechanical structure in conjunction with a