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wildlife. Use molecular techniques, including CRISPR-based methods and cloning, for vaccine and diagnostic development. Describe microbiological, pathological, and immunological approaches used to study
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. During this training opportunity, you will have the opportunity to be involved in the development of a training model to predict PRRSV disease outcomes in field-collected samples from pigs infected with
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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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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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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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based diagnostic testing, undertake research and development of novel assays, and engage in animal studies designed to elucidate viral mechanisms and anti-viral compound efficacy. We are seeking a
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. Description: This research opportunity focuses on the development of the broadband THz Hot-Electron Bolometer (HEB) mixers with the ultimate sensitivity for operation on orbital and suborbital platforms