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Organization U.S. Environmental Protection Agency (EPA) Reference Code EPA-OCSPP-OPP-IO-2026-02 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A
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through collaborative research on problems of interest to each applicant and amenable to or requiring the HPC environment. Training will be provided in data science, scientific computing, AI/machine
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: This fellowship provides a rich training environment for individuals seeking to develop expertise at the intersection of plant biology and data science. Fellows will gain experience with state-of-the-art laboratory
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plants, soil, environment, and management. Contributing to modeling studies that implement the full scope of conservation practices to simulate their effects on soil health and crop yield. Helping tool
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thinking skills to develop experimental approaches and interpret data. A background in microbiology and diseases Ability to participate independently as well as collaboratively in a team environment
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Research and Development environment and be exposed to day-to-day operations including troubleshooting and upkeep of research sites, instruments, and infrastructure, which provides essential knowledge of how
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, pathogen surveillance, and host-virus interactions. Be part of a dynamic and supportive research environment: You will participate alongside individuals who are deeply committed to advancing solutions
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Performance Computing environment, and utilization of bioinformatics pipelines. Translational Research: You will learn how to translate fundamental research findings into practical solutions for U.S
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, Chemical Engineering, Environmental Engineering, Mechanical Engineering, Food Engineering, Agricultural Engineering, Food Science, Biology, Chemistry, etc.). Degree must have been earned in the past five
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cannot be feasibly built across the wide range of environmental conditions present in U.S. croplands. To address this, computer simulations can evaluate the performance of different cropping systems across