32 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:" research jobs at University of London
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About the Role This is an opportunity to join an established, high-profile, team that is working on various aspects of cloud computing and AI law. Members of the team also teach on courses in cloud
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models. The project has the potential to bring together ideas from several different areas: mathematics (polynomials, probability, complex dynamics systems), theoretical computer science (computational
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successful candidate must have a PhD (or equivalent) in the field of computer vision or a closely related area. They will possess the skills and ability to conduct high-quality, innovative research and to
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Act 2006. Full-Time, Fixed-Term until 30 November 2028 Applications are invited for the post of Post Doctoral Research Associate (PDRA) in the Department of Computer Science at Royal Holloway. This is a
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in developing countries through excellence in research, healthcare, and training. Our research programme includes basic scientific investigations, clinical trials, epidemiological studies, intervention
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environments. Demonstrated experience in data engineering and ETL workflows required to prepare large, real-world dataset for machine-learning development is also essential. Please note experience in healthcare
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consists of two academics, two senior physicists, two postdoctoral research associates (PDRAs), one technician, and one engineer. The ITk Group collaborates closely with the rest of the Particle Physics
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. The post is based in the School of Engineering and Materials Science. About You This Postdoctoral Research Associate Role will join the multidisciplinary research group of Prof Martin Knight, focusing
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About the Role This 3 year full-time PDRA position, using advanced transmission electron microscopy (TEM), is part of an exciting major EPSRC-funded Programme Grant, "Enabling Net Zero and the AI
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About the role We are seeking an enthusiastic Postdoctoral Researcher to join the School of Engineering and Materials Science at Queen Mary University of London. The successful candidate will