15 computer-engineering "https:" "https:" "https:" "https:" "https:" positions at Yale University
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is 100% on site in New Haven, Connecticut. Candidate requirements Candidates must have a PhD in Biomedical Informatics, Data Science, Computer Science, or an informatics/engineering-related field (e.g
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statistics and data science at Yale. Current faculty have Ph.D.’s in fields including Applied Mathematics, Brain & Cognitive Science, Computer Science, Electrical Engineering, Mathematics, Political
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computational postdoctoral fellow to lead core deep-learning work across surgical computer vision, multimodal fusion, and clinical translation. Project overview You will advance funded work that
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future. This post-doctoral position will investigate the use of knowledge graphs on automatically extracted metadata at a cross-disciplinary global scale. Using LLMs and traditional data engineering
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. Applicants should have a doctoral degree in epidemiology, biostatistics, computer science, engineering, environmental health sciences, social and behavioral sciences, health policy, medicine, or other
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mathematical work, with an emphasis on critical evaluation and validation Required Qualifications: * Ph.D. (or expected by start date) in Mathematics, Applied Mathematics, Statistics, Physics, Computer
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by Prof. Tagare , with daily collaboration with Prof. Tagare and the research staff in his lab. Qualifications Bachelor’s or Master’s degree in a related field (e.g., computer science, statistics
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programs, reflecting the broad reach of statistics and data science at Yale. Current faculty have Ph.D.’s in fields including Applied Mathematics, Brain & Cognitive Science, Computer Science, Electrical
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transformation, and software engineering techniques for sustainable applications. While this position is based in the Collections and Scholarly Communication division (Yale’s Libraries, Archives and Museums
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must be US citizens or permanent residents at the time of application . Applicants should have a doctoral degree in epidemiology, biostatistics, computer science, engineering, environmental health