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structure-mechanical property relationships are needed to enable diverse applications of these materials. There is a need for quantitative measurement methods to study the interfacial properties of the filler
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performance modeling capabilities that simultaneously consider multiple performance aspects, robust IAQ and other performance metrics, and measurement methods, sensors, and data to evaluate and verify building
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volume and quality that is consistent with the use of statistical methods; machine learning techniques for knowledge discovery; protein-protein interaction network analysis; novel algorithms for next
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301.975.5473 Description Molecular diagnostics are a crucial part of personalized medicine. Molecular diagnostic methods such as PCR, qPCR, RT-PCR and Next-Generation Sequencing (NGS) can be used to detect
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and tracking systems based on the international standard ISO/IEC 18305. We are interested in hybrid localization methods for solving this challenging problem using a variety of sensors and technologies
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shown that these structures are almost purely radiatively broadened at 9 K. We are soliciting proposals to extend this experimental method to investigate multi-exciton and charged exciton complexes. We
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chemicals. While neutron and X-ray scattering methods are workhorse techniques for characterizing model formulations, the large number of components in many real products makes mapping the high-dimensional
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monoclonal antibodies. References Arbogast LW, et al: 2D 1 HN , 15 N Correlated NMR Methods at Natural Abundance for Obtaining Structural Maps and Statistical Comparability of Monoclonal Antibodies
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and the biologics are poorly understood. This research opportunity centers on advancing experimental measurement methods to quantify the structure formed between poly(organophosphazene) polyelectrolytes
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their enterprises. We are interested in projects that focus on the development and application of performance metrics, information models, test methods, and protocols to assess and assure the key attributes