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of the agency is to provide global leadership in agricultural discoveries through scientific excellence. The Sugar Beet Genetic Improvement project at the Northwest Irrigation and Soils Research Unit (NWISRL) is
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of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: Under the guidance of your mentor, you will engage in laboratory studies using genetic
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develops genetic resources to help improve resistance to disease and abiotic stress. The research project with which you will participate will focus on the evaluation of diverse germplasm, with special
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of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: You will receive mentorship and training in turfgrass agronomy, physiology, and genetics
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of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: The Plant Genetic Resources (PGR) that are maintained in the USDA ARS National Plant
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competitiveness of the U.S. cotton industry through creation of enhanced cotton genetic resources. Learning Objectives: You will gain valuable experiences and skills in a collaborative, multi-disciplinary research
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leadership in agricultural discoveries through scientific excellence. Research Project: The mission of the U.S. Vegetable Laboratory is: a) to improve genetic populations of vegetable crops by combining
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environments, scripting languages for handling large-scale genomic data, and learning how to apply programming languages to implement complex computational models and algorithms. Learning objectives will include
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optimization doctrine, preventive medicine, planning doctrine, materiel development support, physiological monitoring strategies and predictive algorithms, and Health Hazard Assessments. About ORISE This program
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inference) Algorithmic development for bilevel (or multilevel) optimization Methodological developments in Bayesian statistics and/or decision analysis Application of adversarial risk analysis within security