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the Department of Computer Science at Royal Holloway, University of London. This is a full-time, fixed-term post for one year from September 2026, with some flexibility around the start date. The project seeks
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particle physics, cosmology, and radio astronomy. Qualifications Minimum Qualifications: · PhD in Physics, Astronomy or a related field by date of appointment · The applicants must
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, or be nearing completion of, a PhD in Computer Science or a cognate field. The successful candidate must possess expertise in distributed AI/ML systems and computer networks. Good knowledge and practical
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for support in technology development. You will work closely with a PhD researcher at the German partner who focuses on the underlying machine learning models, and you will help coordinate the joint work across
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Veterinary Medicine, Biology, Biotechnology, or a related life sciences discipline. Completed doctoral degree (PhD, Dr. med. vet., Dr. rer. nat., or equivalent) in a relevant field. (Professional) Experience
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, formal methods, convex geometry). 2. Master’s or PhD in Computer Science, Electrical Engineering, Control Systems, or a closely related field. 3. Experience in reachability analysis, formal verification
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, OSDI). We are looking for a candidate who is comfortable "looking under the hood" of the operating system. You do not need prior experience with optics. PhD/Masters in Computer Science, Electrical
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PhD in Political Science, Computer Science, Computational Social Science, Sociology, Economics, or a related degree. Applicants who are ABD (all but dissertation) in one of the above fields will be
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. Your competencies You hold a PhD degree in mechanical engineering or a closely related field, and you have a strong background in solid and computational mechanics. You have solid experience with finite
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inference), and automated machine learning. holding (or close to acquiring) a PhD degree in Computer Science, Artificial Intelligence or a closely related field; strong research vision and an academic mindset