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learning and deep learning methods to analyze multi-omics data (genetic, epigenetic, transcriptomic, imaging, single-cell genomics and spatial omics data) with the goal of understanding the underlying
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healthy and tumor-bearing animals using machine learning and AI approaches; and (3) integration of PBPK and QSAR models with AI methods to develop AI-assisted computational approaches to support decision
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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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team includes collaborators from medicine, engineering, and psychology. We are committed to patient-centered science, rigorous methods, and high-impact discoveries. We are seeking a motivated
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research team to contribute to projects at the intersection of AI/ML, real-world data, and health outcomes. The Postdoctoral Researcher will play a key role in developing and applying cutting-edge methods
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Development in Africa and Latin America OR the elective MDP course Gender and Empowerment in Development AND co-teach the core MDP course Design and Methods for Sustainable Development Practice. The instructor
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, mathematics or related majors Job Description: The Postdoctoral Researcher will play a key role in developing and applying cutting-edge AI methods to analyze large-scale clinical datasets, including electronic
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manuscripts, and assisting with grant proposal development. Candidates must have PhD in chemistry. This position will be initially awarded for one year, and, contingent upon strong performance and conduct and
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current NIH postdoctoral salary scales. Minimum Requirements: A PhD degree in Biology, Physiology, or related field; or an equivalent combination of education and experience. Preferred Qualifications
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visit: hr.ufl.edu/benefits Required Qualifications: A PhD in any area of ecology, evolution, or related fields. Experience with genomics, transcriptomics, and bioinformatics or motivation to acquire