858 phd-rehabilitation-engineering-computer-science Fellowship positions in United Kingdom
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Qualifications: PhD awarded within 3 years in business administration, computer science, information systems, data science, biomedical engineering, or a related discipline. Programming & Data Skills: Strong
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language data taken from multiple sources: ongoing fieldwork, previous studies, text corpora and newly-generated reconstructions, as well as well as the results of computational simulations and artificial
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language data taken from multiple sources: ongoing fieldwork, previous studies, text corpora and newly-generated reconstructions, as well as well as the results of computational simulations and artificial
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are seeking a highly motivated and technical Senior Health Economic Modeller with expertise in Health Technology Assessment (HTA) to join the Liverpool Reviews and Implementation Group (LRiG). LRiG sits in
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. Therefore, the appointee will have a unique opportunity to develop their professional skills and build strong collaborations within industry and academia. QUB also hosts some of the most advanced AI computing
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proposals, including publications in leading journals and other relevant platforms. Candidates should have either obtained or submitted a PhD (or equivalent) in Civil, Mechanical, or Materials Engineering, or
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digital technology applications in the creative entrepreneurial context. His research works appeared in top academic journals, including MIS Quarterly, Journal of Marketing, New Media & Society, and Harvard
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mentoring within GSD’s programmes, particularly through contributing to UCA’s new Master’s in Economic Analysis with Data Science (launching in 2026). This first-of-its-kind programme in the region provides a
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of composite materials and structures. The research will be conducted within the Computational Engineering & Design Group of the Department, on a fixed term - full time contract for a duration of 20 months
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relevant social science (for example, Politics, Sociology, or Science and Technology Studies), with training or skills relevant to the project. Relevant training in qualitative AND/OR quantitative research