36 cloud-computing-"https:" "https:" "https:" "https:" "https:" "St" "St" research jobs at University of London
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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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, and functional genomics. The Biology Department hosts its own genomic facility and has recently developed a Research Centre on the theme: The Centre for Evolutionary and Functional Genomics (https
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project. Project website here: https://generationsoflondonenglish.org/ . The post-holder will undertake research activities to support the ongoing acoustic analysis of a large child speech dataset, and the
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research in atherosclerosis. Located in the heart of the City of London, the campus is close to St Paul’s Cathedral, the Barbican Centre and Farringdon, with excellent transport links and a vibrant cultural
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Campus is in the heart of the City of London and is close to the Barbican Art and Music Centre and St Paul’s Cathedral. About Queen Mary At Queen Mary University of London, we believe that a diversity of
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Music Centre and St Paul’s Cathedral. About Queen Mary At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable. Throughout our history, we’ve
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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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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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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