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. Interacts with interdisciplinary professional partners. Other duties as assigned. REQUIREMENTS: REQUIRED: Master of Science (MS) in computer vision, machine learning, artificial intelligence, or a
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 6 hours ago
developing expertise in tobacco control policy research and systems science. The position is part of the UNC NIH / FDA -funded Tobacco Center of Regulatory Science ( TCORS ). The broad theme of the UNC
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development, implementation, and evaluation of machine learning, computer vision, and other algorithms, primarily in the context of health. They will be part of the thriving research community of Duke
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the study. Contributes to preparation of new grant proposals/studies as needed. Qualifications Education Requirements: PhD degree in Computer Science, MD degree, or related field. Experience and
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in computer science promoting discovery and innovation. The College currently offers an engineering degree in computer engineering, and a doctoral program in computer science. About the Group The Data
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View more categories View less categories Academic Discipline Computer Science , Engineering & Technology , Electrical & Electronic Engineering Job Type Academic Posts , Postdocs Contract Type
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to detect this separation through model architecture in probabilistic temporal event dynamics. Required Qualifications: - PhD in computer science, engineering, biomedical data science, informatics
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Requisition Id 16889 Overview: The National Center for Computational Sciences (NCCS) provides state-of-the-art computational and data science infrastructure for technical and scientific
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and interests. We welcome applicants from psychology, computer science, political science, sociology, economics, human-computer interaction, data science, cognitive science, and related fields. Key
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., near-miss detection, predictive crash risk, multimodal exposure estimation). · Design, implement, and validate AI pipelines (computer vision, tracking, spatio-temporal modeling, edge learning