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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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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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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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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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projects for this position include: (1) development of physiologically based pharmacokinetic (PBPK) and quantitative structure-activity relationship (QSAR) models of drugs, environmental chemicals, and
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, vegetation, and water table position on energy transmission. Co-develop and apply process-based numerical models of dune morphological change informed by collected datasets. Coordinate field campaigns
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ideally August 18, 2025. The project uses interdisciplinary methods from social network science, language modeling, and cognitive science. In this longitudinal project we will follow learners of Spanish who
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and grant applications. Mentor and train students in laboratory techniques and analyses. UF is the state’s oldest, largest, and most comprehensive land grant university with an enrollment of over 50,000