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Wyndmoor, PA investigates issues related to the utilization of milk, and dairy manufacturing by-products for the development of novel food, bioactive and packaging ingredients. The Unit is seeking a
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Development Team (APDT), evaluation of rural public health initiatives and communication products, and development of educational resources and tools for public health partners. Participants may also gain
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insurance through ORISE) Training and Travel Allowance About DEVCOM-SC The U.S. Army Combat Capabilities Development Command - Soldier Center (DEVCOM-SC) is located at the U.S. Army Natick Soldier Systems
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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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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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for the characterization and development of cultivars in ornamental (Hibiscus) and small fruit (Blueberry and Muscadine grape) crops. This research is a component of ARS National Programs 301 (Plant Genetic Resources
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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