32 phd-in-mathematical-modelling-population Postdoctoral positions at University of Florida
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responsibilities and characteristics of this position are: Develop and apply mathematical, computational, and agent-based models to evaluate sustainability and resilience in food, packaging, and supply chains
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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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Classification Title: Post-Doctoral Associate Classification Minimum Requirements: Must have PhD in astronomy or physics. This position will be initially awarded for one year, and, contingent upon
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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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students have received numerous national awards in research and mentoring and are committed to excellence in training. The department offers an PhD, Master of Science, and concentration in the MPH program
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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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Classification Title: Postdoctoral Associate Classification Minimum Requirements: PhD in Biology, Development, Molecular Biology, Genetics, Neuroscience, Evolutionary Biology or similar field
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) mathematics, physics, or a related STEM fields. Job Description: The Division of Biomedical Informatics and Data Science (BIDS) within the Department of Health Outcomes and Biomedical Informatics (HOBI
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Classification Title: Postdoctoral Associate Classification Minimum Requirements: The candidate must have a Ph.D. (or MD/PhD) in biological sciences such as molecular biology, cell biology, cancer
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fibroids and eliminating fibroid health disparities. The project will provide education on fibroid symptoms/management, identify barriers to care, and improve risk prediction models to identify women with