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degree). Strong background in one or more of the following: Computer Vision Machine Learning Artificial Intelligence Computational Behavioral Science Data Science Biomedical Engineering Computational
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equivalent experience in machine learning or a related quantitative field (Computer Science, Artificial Intelligence, Statistics, Mathematics, Physics, Computational Biology/Chemistry). Candidates will be
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Show all breadcrumbs Postdoctoral Associate (Computational Neurogenomics / AI) — Stephen & Denise Adams Center for Parkinson’s Disease Research, Yale School of Medicine Monday, March 23, 2026
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) and experience building and deploying computational pipelines at scale. l Demonstrated expertise in machine learning and/or artificial intelligence, with strong foundations in computer science
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to work with real-world datasets and develop computational tools for empirical research. Our current projects involve large-scale web and text analysis, as well as computer vision and visual data
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering Leuven VIB Center for AI & Computational Biology Group Leader / PI Posted Date 12 Oct 2026
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conduct cutting-edge research under the mentorship of Principal Investigator, Dr. Hakki Erhan Sevil, to support projects under the Center for Computational Intelligence. Qualified applicants can be
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sustained collaboration with IHMC and UWF’s Center for Computational Intelligence. We seek candidates who use computational, quantitative, or data-intensive approaches to address significant
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
machine learning or a related quantitative field (Computer Science, Artificial Intelligence, Statistics, Mathematics, Physics, Computational Biology/Chemistry). Candidates will be considered at junior or
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-enabled solutions to improve diagnosis, procedural planning, and outcomes in aortic disease. The ideal candidate will combine deep technical expertise in AI delivery (computer vision, machine learning