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scientists or quantitative social scientists who harness tools of AI, data science, computer science, or system science to improve the performance of public and social sector institutions in critical
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scientists or quantitative social scientists who harness tools of AI, data science, computer science, or system science to improve the performance of public and social sector institutions in critical
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scientists or quantitative social scientists who harness tools of AI, data science, computer science, or system science to improve the performance of public and social sector institutions in critical
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Details Title Postdoctoral Fellowship in Power and AI Systems School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science/ Electrical Engineering
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-Duchene Group is based in the Section for Health Data Science and AI at the University of Copenhagen's Department of Public Health. The group works at the intersection of computer science, mathematics
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Qualifications Ph.D. or M.D./Ph.D. in areas such as Data Science, Statistics, Computer Science, Epidemiology, Environmental Health, or a related field. Demonstrated expertise in large scale analysis and
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in Responsible AI 39 Faculty of Computer Science Job vacancy starting: 15.10.2026 | Working hours: 30.00 | Classification CBA: §48 VwGr. B1 Grundstufe (praedoc) Limited contract until
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and prepare your doctoral thesis Your Profile Your qualifications and technical background include: An excellent master’s degree or equivalent in computer science, data science, applied mathematics
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advanced immersive visualisation and visual analytics using Augmented and Virtual Reality environments in visualising and interacting with protein structures. Required knowledge Strong computer-science and
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[Malaysia Campus- VPSSP] An AI-Informed Planetary Health Framework for Equitable AMR Risk Mitigation
ensure local relevance. Required knowledge Artificial Intelligence; Machine Learning; Computer Vision; Bioinformatics; Biomedical Engineering; Neuroscience; Genomics; Medical Physics; Data Science