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at the University of Oxford and work collaboratively with academic partners at Warwick, Berkeley, Potsdam, Groningen and beyond. This post is based at the Department of Computer Science and on-site working is
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Information Science / quantum computing Appl Deadline: none Position Description: Apply Position Description Title: Postdoctoral Fellowships in quantum computing/information at University of Electronic Science and
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, Computer Science or related fields (for PhD); Doctorate in Physics, Computer Science or related fields (for Post-Docs). The positions are funded via the Cluster of Excellence (Machine Learning for Science), the ERC
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| College Administration We are seeking a highly motivated postdoctoral researcher to join an interdisciplinary collaboration between Dr. Yuan Xue (Department of Biomedical Informatics) and Dr. Andréa
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scientific journals and conferences Your Profile: A doctoral degree in Physics, Materials Science, Computer Science, Data Science, or related fields Proven experience with large language models (LLMs), natural
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other partners in the project. About you You should possess a PhD/DPhil in Engineering, Computer Science or other related field, (with the possibility to underfill at Grade 6 (£34,982 - £40,855 p.a
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Department: Department of Machine Learning and Data Processing – Faculty of Informatics Deadline: 14 Jul 2025 Start date: preffered September 2025 / by mutual agreement Job type: full-time Job
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neurobiology or a strong quantitative preparation with experience in bioinformatics/computer science will be essential. Prior experience with connectomics data is highly desirable. Our group has developed
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bioinformatics/computer science will be essential. Prior experience with connectomics data is highly desirable. Our group has developed an international reputation in this area and our tools have now been used in
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and Information Science, School of Engineering and Applied Science). The position is designed to be a career-building step for new scholars. The primary focus is for the scholar to develop her/his