156 engineering-computation "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of London
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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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. The position will involve teaching undergraduate core and optional subjects on our LLB Course. We are interested in candidates with expertise in one the following areas: Law and Technology, Employment Law
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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
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collaboration and ensuring they meet the requirements set by GridPP. The successful applicant will have a degree level qualification in a Science/Engineering subject or relevant equivalent experience and
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About the Role We are seeking to recruit a motivated Postdoctoral Research Assoicate with a PhD degree and interest in bioinformatics or computational biology. The candidate will develop methods
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. Supported by a BHF Programme Award, this role offers an excellent opportunity for a motivated clinician to pursue academic cardiology in a leading research environment. The Fellow will contribute
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the clinical lecturer will refine their research focus and build their own research programme. Clinical and non-clinical academics at LSHTM have research programs in a wide range of primary care and global
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qualification (HND/Foundation Degree) in Mechanical Engineering, Building Services, or related field. You should possess strong communication, analytical, and problem-solving skills, with a logical and methodical
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delivery-focused role centred on design, setup and enablement, not day-to-day campaign execution. You’ll work across the School with Marketing, Communications, Technology and customer-facing teams, as
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endemic countries. We are seeking to appoint a Research Fellow to join a research programme that applies advanced bioinformatic, statistical, and population genomic approaches to large-scale sequencing data