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a significant amount of hydrologic modeling; thus, experience working with the Soil and Water Assessment Tool (SWAT) are desired. The applicant should have a valid driver's license and anticipate
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, supply chain resilience, and lifecycle sustainability. The successful candidate will lead and conduct independent research in optimization, systems modeling, agent-based modeling (ABM), and network
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unravel the complex relationships between land use changes and fire regimes over the past 60 years. The successful candidate will lead efforts to: Develop advanced deep learning algorithms for classifying
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and apply advanced machine learning and deep learning models (GeoAI) for fusing, analyzing, and interpreting multi-sensor data to track invasion species patterns Create novel analytical workflows
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and systems analysis across related food and biosystems projects in ABE and GFSI. Utilize the HiPerGator high-performance computing system to conduct advanced modeling and simulations. Mentor graduate
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projects, depending upon aptitude and training. The applicant will have the opportunity to develop their research, publication, and presentation skills under structured mentorship from established faculty
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on conducting problem-oriented and policy-relevant research, developing econometric models to understand the economic and behavioral incentives for using new farm management practices and technology adoption, and
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or any related discipline with a background in advanced plant physiology is required. Good oral/written communication skills are essential. Candidates must be supportive of the mission of the Land
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mentorship, professional growth, and preparation for both academic and industry career paths. Background Information The University of Florida is a Land-Grant, Sea-Grant, and Space-Grant institution
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. The research interests of the group include beyond Standard Model phenomenology, dark matter, cosmology, and gravitational waves. The UF particle theory group includes Professors Jeff Dror, Yohei Ema, Rachel