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of protein therapeutics, because NMR spectra are sensitive to molecular shape and intermolecular interactions as well as chemical structure, and NMR can reproducibly probe this information at atomic resolution
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. However, detailed analysis of biologics is quite limited using these approaches. In contrast, nuclear magnetic resonance (NMR) is a high resolution and information-rich technique that is highly sensitive
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of Computational Materials Engineering (ICME) in an AI platform for industrial AM production. This research philosophy relies on a dual approach: Data Informatics & Analytics: Leading investigations into the root
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interaction networks within naturally occurring microbiomes (i.e., 10^2-10^3 constituent species). This project lies solidly at the interface of microbiology and microbiome engineering, analytical and
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RAP opportunity at National Institute of Standards and Technology NIST Metabolomic and Lipidomic Research: Emphasizing Advanced Data Analysis, Metabolite/Lipid Annotation, and Functional Pathway
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research projects in real-time monitoring of AM processes and AM process control, qualification of AM feedstocks, machines, and parts, and AM data management, integration and analytics for decision making
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and construction materials 2. developing and evaluating novel characterization and analytical tools to understand fire retardant mechanisms 3. developing and evaluating novel fire and flame
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measure structural changes as the agents go from their biologically active to their biologically inactive forms. As analytical methods become available, studies of the physical and chemical processes
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relates to manufacturability and basic cell functions. Advanced automation systems will also be employed to generate control samples with varying degrees of cell health to serve as training data
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data analysis aspects of these multi-component soft matter therapeutic formulations. The binding between polyphosphazenes and proteins are visualized by cryogenic electron microscopy (cryoEM), therefore