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of tropical fruit, vegetable and ornamental crops grown in the Pacific Basin.. During this fellowship you will engage with research to extend existing computer models of surveillance traps for invasive insects
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state-of-the-art experimental and computational models for solving water resource problems worldwide. CHL research and development addresses water resource and navigation challenges in a variety of
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computing pipelines and package models and analytical methods as documented, reusable research software and community resources. You will be encouraged to participate in SCINet and AI Center of Excellence
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provides policy making, program direction, coordination, liaison, and expert advice to agency leadership and programs in support of FDA's science-based regulatory efforts. Research Project: You will
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or simulated data to address statistical problems in a stimulating, collaborative, and supportive environment. Past research project areas have included modeling and simulation, missing data, noninferiority
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-making under uncertainty relevant to security and defense settings. Research activities will focus on methodological innovation, theoretical development, and applied mathematical/statistical modeling. Why
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data from December 2025 to the present to identify workload distribution patterns and refine the algorithm using mathematical modeling, programming, and integrated data systems. Project outcomes will
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received a doctoral degree in the one of the relevant fields. Preferred Skills: Awareness of the biological relevancy of and applications for developed computational models and workflows Experience analyzing
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. Dairy Forage Research Center (DFRC) has an opportunity for a Post Doctoral Research Fellow to engage in a process and statistical modeling research opportunity focused on improving nutrient use efficiency
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. The vision of the agency is to provide global leadership in agricultural discoveries through scientific excellence. ARS’s SCINet/Artificial Intelligence (AI) Center of Excellence Research Participation Program