283 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" positions at Zintellect
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educational activities and research in several areas. These include, but are not limited to: Learning to use instruments that provide precise measurements of high frequency phenomena Developing new
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Service (ARS), located in St. Paul, Minnesota. The Agricultural Research Service (ARS) is the U.S. Department of Agriculture's chief scientific in-house research agency with a mission to find solutions
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atmospheric conditions. During the selection process, qualified applicants will have the opportunity to learn more about specific research assignments for Summer 2026. Selections, project assignments, and
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Service (ARS), located in St. Paul, Minnesota. The Agricultural Research Service (ARS) is the U.S. Department of Agriculture's chief scientific in-house research agency with a mission to find solutions
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. https://www.ars.usda.gov/pacific-west-area/wapato-wa/temperate-tree-fruit-and-vegetable-research/ Research Project: The selected participant will engage in cutting-edge research focusing on molecular
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300 species. https://www.ars.usda.gov/northeast-area/geneva-ny/plant-genetic-resources-unit-pgru/docs/about-pgru/ Research Project: Participants will have the opportunity to explore genetic variation
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markers, and determination of bacterial and virus disease titers. Learning Objectives: Learn theory, methods, and skills to propagate citrus plants, prepare plants for greenhouse and field research, and to
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to cell and gene therapy. Will learn to use advanced manufacturing tools and strategies to gain a deeper understanding of challenges associated with T cell-based immunotherapies (such as CAR-T cells). Will
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candidates who would like to learn and gain experience in how to plan and perform large animal research and/or burn research in a military medical environment. What will I be doing? As an ORISE participant
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measurements, airborne measurements from field campaigns (e.g., NASA CAMP2EX, ARCSIX) or surface observations. Research involving machine learning techniques will be strongly encouraged. Field of Science: Earth