294 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"UCL" positions at University of London
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the University, in accordance with the Immigration, Asylum and Nationality Act 2006. Part-Time (28 hours per week), Fixed-Term (until 18 September 2026) Applications are invited for the post of Student & Programme
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from either engineering, physics, computer science or medicine, with the life sciences. We welcome applicants with experience across diverse areas of biomedical imaging. You will integrate imaging
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-quality publications and externally funded research that aligns with or compliments the RVC’s existing research strengths in Biomedical and Clinical Sciences (see link at https://www.rvc.ac.uk/research
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and the Francis Crick Institute. This initiative brings together world-class experts in evolutionary genomics, stem cell biology, and computational science to unravel one of the most fascinating puzzles
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with the University, in accordance with the Immigration, Asylum and Nationality Act 2006. Full-Time, Permanent Applications are invited for this newly created post of Student and Programme Admin Officer
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about the MSc Data Science programme can be found here: https://www.london.ac.uk/study/courses/postgraduate/msc-data-science Module Specification As an Online Tutor, you will be required to provide
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Data Science programme can be found here: https://www.london.ac.uk/study/courses/postgraduate/msc-data-science Module Specification As an Online Tutor, you will be required to provide academic support
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Computer Science at Queen Mary University of London, working with Professor Rachel Humphris and Dr Dimitrios Kollias. The successful applicant will undertake computational research, including algorithmic
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About the Role The principal duty of the post will be to undertake high-level lab-based work, developing the research program as outlined. The role includes data analysis and achieving a steady
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within a multidisciplinary research team. About the School/Department/Institute/Project The School of Engineering and Materials Science is a large, multidisciplinary School with a strong international