36 computer-science-intern "https:" "https:" "https:" "https:" "OsloMet storbyuniversitetet" Postdoctoral research jobs at University of London
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will have a computer science, biomedical sciences or bioengineering background, with experience of interdisciplinary research and experience of bioinformatics analyses. Alternatively, you could be
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:38183983) using cutting-edge genomics technologies (https://www.biorxiv.org/content/10.1101/2024.12.20.629444v5) to provide core knowledge for development of new therapies and management strategies for PPK
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About the Role Join the Green-Loop project, a £1.3M UKRI-EPSRC and DEFRA-funded programme addressing solar panel waste. By 2030, the UK will generate approximately 1 million tons of decommissioned
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About the Role The post entails undertaking research in collaboration with and under the supervision of the project lead of the research programme ‘Politics and mythmaking: disentangling myth from
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equivalent to PhD level in the relevant subject area for the research programme. They will be educated to degree level in a relevant field and have qualifications in participatory research methods, alongside
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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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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
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About the Role This is an exciting position where applicants are invited to join a multi-disciplinary team of bioengineers, biomedical scientists, and computer scientists working together at Queen
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evaluating computational methods, analysing imaging data, collaborating with clinicians for real-world impact, and contributing to publications. About You PhD (or near completion) in computer science
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progression. The Iskratsch Group , at the School of Engineering and Materials Science, Queen Mary University of London is exploiting cutting-edge mechanobiological, as well as imaging approaches2-5 with the aim