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: During the appointment, you will be able to learn from multi-disciplinary researchers from universities and ARS through collaborative research projects. Establishing collaborations with food technologists
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. To advance the mission and serve their purpose, the USDA Forest Service balances the short and long-term needs of people and nature by: working in collaboration with communities and our partners; providing
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generated quickly and regularly. Help develop machine learning techniques for feral swine abundance in data sparse environments. Collaborate with APHIS Wildlife Services (WS) to integrate data and model
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to study drug pharmacokinetics and pharmacodynamics. You will receive mentoring on the project, which will also include collaboration with investigators within and external to the FDA. The following articles
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within the collection; phenotype a core subset and develop marker trait associations; with all data becoming publicly available. Approach: Participant will collaborate closely with Breeding Insight (BI
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. To advance the mission and serve their purpose, the USDA Forest Service balances the short and long-term needs of people and nature by: working in collaboration with communities and our partners; providing
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machine learning, data analytics, or computational biology. The ability to research independently as well as collaboratively, and a record of scientific productivity. Stipend $70,000.00 – $80,000.00 Yearly
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a wide variety of conditions. But the current generation of these models struggle to accurately capture interactions between watershed hydrology and crop performance. In collaboration with the mentor
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opportunity to hone many aspects of their scientific skillset while participating collaboratively with Southern Research Station researchers. Learning activities will include: Learning to analyze forest
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Methods Clin Dev. 10: 105-112, 2018. Learning Objectives: Under the guidance of a mentor, you will receive training in cutting edge technologies directly relevant to promoting public health, opportunities