133 cloud-computing-"https:" "https:" "https:" "https:" "https:" "St" positions at University of London in United Kingdom
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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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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
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support to advance the objectives and development of the research programme investigating a dual origin for pituitary gonadotrophs and its relevance to the reproductive function in health and disease. About
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comprehensive network refresh programme to modernise and enhance its IT infrastructure. This strategic initiative will improve performance, security, and resilience across the organisation, supporting innovative
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Trust-funded project on Plasma-Assisted Combustion (PAC) Modelling of Ammonia, in collaboration with the York Plasma Institute. The successful candidate will develop and apply advanced computational
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significant scope for scientific creativity. You will have opportunities to publish in high‑impact journals, develop new modelling methodologies, work with high‑performance computing resources, and contribute