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on analyzing experimental and time series data, applying crop and hydrologic modeling tools to improve understanding of soil, water, and plant interactions, and developing data-driven decision support tools
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data analysis. Record of scholarly publications and scientific communication skills Proficiency in statistical and data analysis tools (e.g., MATLAB, Python, R). Preferred Qualifications: Experience with
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at the University of Florida. Job Description: Develop methods and tools to effectively use electronic health record (EHR) data; apply AI/ML methods to solve critical clinical and biomedical problems. Implement
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novel, lab-generated mouse models, and available human patient samples, the lab identifies and validates novel targets in obesity and MASLD and subsequently develops pharmacological tools that ameliorate
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that facilitate basic research and drug development. The unique infrastructure includes the application of unique chemical, genomic, proteomic, informatics, and high-throughput screening and engineering tools