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research activities spanning additive manufacturing, materials characterization, mechanical testing, and oxidation behavior. Through this opportunity, you will gain exposure to the full research process from
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with high purity, improved color, and desirable sensory attributes; conduct analyses of the structural, nutritional, and functional properties of extracted plant proteins; characterize interactions
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methods for comprehensive viral detection and genome characterization. Design and evaluate molecular assays and laboratory workflows using appropriate controls, reference materials, and performance
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on advancing the characterization and performance evaluation of natural fibers, with an emphasis on cotton. Activities will include analyzing cotton fiber surface chemistry (such as moisture, wax, and pectin
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predictive modeling, to identify distinct phenotypes of diabetes and characterize factors associated with disease onset, progression, complications, and mortality. Gain experience analyzing administrative
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environmental factors associated with CKD incidence and trends. Apply advanced statistical and machine learning methods, including semi-supervised cluster analysis, to characterize populations with diabetes and
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project to isolate, synthesize, and bioassay natural products that mediate plant-insect interaction. Project activities include 1) the chemical characterization of mealybug pheromones and 2) the development
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PMCA), protein conformational stability assays, and prion strain characterization. Present research findings at local group meetings, center-wide seminars, and potentially at national or international
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chronic conditions and illnesses. This research aligns with CVDB's public health mission to strengthen evidence supporting improved recognition and characterization of ME/CFS. Learning Objectives: You will
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that monitors laboratory-confirmed hospitalizations associated with influenza, COVID-19, and RSV among children and adults in the United States. RESP-NET data are used to characterize hospitalization trends