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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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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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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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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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, imaging informatics, and large language models (LLM) is preferred. This position will require collaboration with multiple stakeholders, including informatics experts, clinicians, basic scientists, and
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collaboration with the UF Artificial Intelligence initiative. The successful candidate will have the opportunity to work on cutting-edge projects aimed at building large-scale models for neuroimaging and
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influence placental physiology, fetal development and long-term health outcomes. The successful candidate will join a dedicated research team conducting translational studies using animal models, human tissue
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symptoms across the healthcare system, by integrating neuroimaging, psychophysiology, and computational modeling. Our work spans from basic science to clinical/translational neuroscience with humans, and our
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, there are several exciting opportunities for a variety of very interesting projects beyond structure-function studies of cytoskeletal proteins that control signaling downstream of adherens junctions and focal