23 modelling-complexity-geocomputation Postdoctoral positions at University of Florida
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additional AD risk genes and to develop disease models. Work on the projects studying molecular mechanisms that recently identified Alzheimer’s disease risk repeat expansion variants contribute to disease
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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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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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to discover new therapies. The successful candidate will assume a leadership position within the lab as a Postdoctoral Associate. Set the tone for both scientific and scholarly excellence. Drive forward complex
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highly motivated and skilled postdoc to work on a project using comparative venomics and microbiomics to assess the evolution of venom complexity in social and subsocial spiders. This interdisciplinary
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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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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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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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genetic architecture of complex traits and diseases. Key responsibilities for the postdoctoral associate position include data analysis, manuscript writing, research presentation at conferences, and
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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