127 computer "https:" "https:" "https:" "https:" "UNIV" positions at University of London
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Programme. The role ensures that approved demand is shaped, planned, delivered, and embedded effectively, acting as the primary interface between business stakeholders and AAA delivery teams. In
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About the Role The SKETCH Project Coordinator supports the delivery of Queen Mary’s award‑winning SKETCH student knowledge‑exchange programme. You will coordinate assigned SKETCH pillars, manage
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; experience in the Higher Education sector is desirable Will be competent in the use of computer software in a work environment (such as Microsoft Office, Sharepoint, Library Management Systems, Helpdesk
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Trauma Centre at the Royal London Hospital (RLH) and lead a research programme aligned with the NIHR Barts Biomedical Research Centre (BRC). Key Responsibilities Clinical (50%): Work with complex patients
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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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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 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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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