35 computer-security "https:" "https:" "https:" "https:" "University of Kent" research jobs at University of London
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About the Role We are looking for a Computational Senior Research Fellow to join the ERC-Synergy funded MUTAHOME project, a multi-institutional collaboration between Queen Mary University of London
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on fundamental research problems with real-world impact, collaborate with leading industry partners (Uber and WhatsApp) and other universities (this project is shared with the University of Kent and the University
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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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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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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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. 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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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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at the intersection of inflammation biology, therapeutic development, and precision medicine, contributing to projects aimed at elucidating pathogenic mechanisms and identifying druggable targets. The programme
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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