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«Detaljer» for å lese mer om dette og tilpasse dine valg. Om cookies Bare nødvendige cookies UiO/Anders Lien 15th August 2026 Languages English English English PhD Research Fellow in computer science/AI
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Department of Computer Science (DIKU) invites applicants for PhD fellowships in Computer Science. This project is a part of the project “Differentiable Realism from AI and Modeling” (DREAM) financed
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PhD Project in Cultural Reasoning with Language Models The AI Section at the Department of Computer Science invites applicants for a PhD fellowship in computational modelling and evaluation of
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The Human Centered Computing Section at the Department of Computer Science, Faculty of Science at the University of Copenhagen invites applicants for a PhD fellowship on Street-level Bureaucracy of
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, resolve research challenges, participate in staff development, and support operational duties. About You: Education & Qualifications: A PhD degree in Computer Science or a related area awarded within
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research. Job Requirements: PhD degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Strong background in machine learning and computer vision. Strong publication
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include quantum space complexity, quantum property testing, and quantum communication complexity. Only shortlisted applicants will be notified. Qualifications PhD in Computer Science or related
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Institute of Science and Technology Austria (ISTA) | Science Institute, Karnataka | India | 1 day ago
fellowships (10 positions) for highly qualified candidates who have completed or will soon complete their PhD or equivalent in chemistry, data and computer science, earth sciences, life sciences
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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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a relevant PhD/DPhil (or near completion) in Computer Vision Or Machine Learning. Strong publication record at the principal international computer vision and machine learning conferences. Sufficient