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clinical features using machine learning and foundational modeling approaches. This work supports disease modeling across chronic kidney disease, acute kidney injury, cancer, and neurological conditions. A
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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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comprehensive land grant university with an enrollment of over 50,000 students and was ranked 6th in the country among public universities (US News and World Report 2023 rankings), and 1st among public
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structural elucidation, and (iii) synthetic chemistry and biocatalysis for the preparation and evaluation of antibody-drug conjugates (ADCs) as the next generation anticancer therapies by site-specific
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)-statistics, (applied) mathematics, or a related STEM field. Prior working experience with EHR data, machine learning, NLP, bioinformatics, and large language models (LLM) is preferred. In particular
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state’s oldest, largest, and most comprehensive land grant university with an enrollment of over 50,000 students and was ranked 6th in the country among public universities (US News and World Report 2023
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benefits package. Required Qualifications: PHD in astronomy or physics. Preferred: Experience with large-scale structure data and software development. Special Instructions to Applicants: For full
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neurodegenerative diseases and iPSC-derived neurons representative of the disease. Testing promising compounds for their in vivo pharmacokinetic properties in wildtype and mouse models for neurodegenerative diseases
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/three years. UF is the state’s oldest, largest, and most comprehensive land grant university with an enrollment of over 50,000 students and was ranked 6th in the country among public universities (US
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for up to one year. UF is the state’s oldest, largest, and most comprehensive land grant university with an enrollment of over 50,000 students and was ranked 6th in the country among public universities