125 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at University of London
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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 ticketing systems) Will be
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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
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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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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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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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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