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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 6 hours ago
, computer science, or related field. Required Qualifications, Competencies, and Experience Doctoral degree in statistics, industrial and systems engineering, electronic engineering, computer science, or
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Scholar with strong expertise in computer vision, multimodal AI, machine learning, and/or agentic AI to help build the next generation of intelligent digital health solutions. You will work side by side
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Academic Discipline Mathematics & Statistics , Physical Sciences Job Type Academic Posts , Postdocs Contract Type Fixed Term Hours Full Time Apply now Save job Click to add the job to your shortlist Send job
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top-tier venues and will have dedicated time for advancing their own research. The project is in collaboration with CCL (The Center for Connected Learning and Computer-based Modeling, PI Uri Wilensky
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science, biomedical engineering, applied mathematics, statistics, a quantitative biological discipline, or a related field. Demonstrated research experience in machine learning or computer vision
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categories Academic Discipline Computer Science , Engineering & Technology , Mathematics & Statistics , Physical Sciences Job Type Academic Posts , Postdocs Contract Type Permanent Hours Full Time Apply now
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Skills: Experience in image or signal processing, medical data processing, artificial intelligence and/or computer vision. Basic system administration skills. Strong analytical and problem-solving skills
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View more categories View less categories Academic Discipline Computer Science , Engineering & Technology , Mathematics & Statistics , Physical Sciences , Chemistry Job Type Academic Posts , Postdocs
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Intelligence, Biomedical Informatics, Bioinformatics, Computational Biology, Electrical and Computer Engineering, Statistics, Applied Mathematics, or a closely related discipline before their appointment start
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in NLR’s Computational Science Center has an immediate opening for a Postdoctoral Researcher to pursue a cross-disciplinary research project in statistical modeling with an emphasis o n combining