27 cloud-computing-"https:"-"https:"-"https:"-"https:"-"UCL" research jobs at University of London
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About the Role This is an exciting position where applicants are invited to join a multi-disciplinary team of bioengineers, biomedical scientists, and computer scientists working together at Queen
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. The post-holder will be responsible for bringing forward an innovative programme of work to investigate the impact of the OptiMAx programme through mixed-methods process evaluation and gender analysis
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programme into health equity. The role will be based in the Blizard Institute This is an opportunity for a candidate with a Postgraduate (MSc/ MA) qualification in a relevant subject, to be part of
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will develop and apply computational methods for the analysis of cell-free DNA (cfDNA) sequencing data, supporting a growing research program at the intersection of epigenomics and translational medicine
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a Research Fellow to contribute to a research programme examining how digital environments influence adolescent health. The postholder will lead the analysis of the UK Household Longitudinal Study
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& International Health is seeking to appoint a Research Fellow in Health Data Science (with a focus on machine learning) to NeoShield , a multi-country implementation research programme focused on neonatal sepsis
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About the Role Join the Green-Loop project, a £1.3M UKRI-EPSRC and DEFRA-funded programme addressing solar panel waste. By 2030, the UK will generate approximately 1 million tons of decommissioned
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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