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Council on Sports, Fitness & Nutrition. Develop skills in reviewing and collaborating on projects focused on disease prevention and health promotion. Learn about program development and implementation
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of Salmonella survival, adaptation, persistence, and transmission in these systems, you will engage in the development of science-based strategies aimed at reducing Salmonella contamination during pre-harvest
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the fellowship, you will learn about federal grants, cooperative agreements, NOFO development, emergency response funding, reporting requirements, and funding restrictions. You will also gain experience reviewing
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of multiple surveillance and administrative data sources. Development of reproducible analytical workflows using programming languages such as R and Python. Application of machine learning and predictive
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identification to support realistic model development. Gain experience analyzing model outputs using established statistical techniques to interpret invasion dynamics and risk patterns. Build foundational
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of the Aquatic Animal Health Research Unit are the development of vaccines, rapid detection tests and shrimp and crawfish diets that will enhance disease resistance to infectious bacteria and parasites. The Unit's
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management, with experience in statistical analysis and process-based modelling. A person with training in database development and management, as well as experience and interest in modeling soil carbon
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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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methods for evaluating AI tools for public health applications; participate in the development and testing of AI-enabled analytical approaches, prototypes; examine how AI can help integrate and interpret
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; surveillance-data analysis; and scientific manuscript development for peer-reviewed publication. Gain experience with updates to DNPAO’s interactive, web-based data portal that displays Division surveillance