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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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, microscopy/imaging, in situ hybridization/immunohistochemistry. Demonstrated independent and critical thinking abilities, excellent communication skills, ability to take initiative and work independently. Job
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. Position Duration: 12 months, with the possibility of renewal based on performance and funding. Responsibilities: Analyze complex experimental datasets, including time series data from field and sensor-based
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the needs of the unit. The successful candidate will work with UF/IFAS faculty to develop and conduct turfgrass research and extension projects related to mixed species evaluations on photovoltaic facilities
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support ongoing scientific experiments. This position plays a key role in the overall functioning of the lab, contributing to experimental design, genome engineering, data analysis, and plant biotechnology
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, National Park Service and other federal and state agencies. Access to high-performance computing and modeling software (e.g., MIKE SHE). The University of Florida is a Land-Grant, Sea-Grant, and Space-Grant
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of Chemistry, is seeking outstanding, creative, independent, and highly motivated postdocs. The Liu lab focuses on the discovery of small molecules for human proteins, as well as the functional characterization
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Florida. The objective of this research is to determine differences in performance in select farms in the EAA basins by evaluating the impact of soil chemistry and historical land use on P concentration and
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., GeoDjango or FastAPI) that expose key spatial datasets Explore and operationalize the role of HiPerGator as a serving and orchestration layer within the hybrid architecture Containerize key components (e.g
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models of obesity and MASLD. Prior work from the lab discovered the inositol hexakisphosphate kinase-1 (IP6K1) and the E3 ubiquitin ligase Ube4A as novel targets in obesity and MASLD (Cell, 2010; JCI, 2016