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, such as R, Python, and statistics, and to learn collaboration and leadership skills through workshop and group experience. USDA-ARS Mentor: If you have questions about the nature of the research, please
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, such as R, Python, and statistics, and to learn collaboration and leadership skills through workshop and group experience. USDA-ARS Mentor: If you have questions about the nature of the research, please
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collaborative research environment Willingness to learn skills and obtain new knowledge Stipend $100,000.00 – $110,000.00 Yearly Point of Contact Janeen Eligibility Requirements Citizenship: U.S. Citizen Only
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the Department’s research investment, oversee the development of Annual Modal Research Plans, and provide opportunities for research collaboration with public and private sector partners. The areas of learning
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funds can be used effectively and on time. Research Project: This fellowship will provide an opportunity to learn alongside the Crisis Cooperative Agreement and Innovation (CCI) Team. The CCI Team manages
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texture measurements on vegetable tissue. You will participate in data collection and analysis and collaboratively advance the development of standard operating procedures for advanced microscopy. Learning
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scales, from the genome to the continent, and sub-daily to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including AI and machine learning
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are derived from plant breeding, genomics, quantitative genetics, physiology, biotechnology, computational biology, and horticulture. You will be encouraged to establish robust collaborations with faculty
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would improve collection utility and aid in facilitating the research needs of seed requestors. During the fellowship, you will collaborate with Iowa State University maize breeders and geneticists, PIRU
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collaborative and foster synergistic relationships with scientists across multiple ARS research institutions/national programs, academic institutions, and research consortiums. Opportunities for additional