24 programming-"https:" "https:" "https:" "BioData" research jobs at University of London
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. The Institute is organised into six separate research centres which, though complementary and following the Institute strategic plan, also have Centre-specific objectives and requirements About Queen Mary
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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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About the role This role supports a multidisciplinary programme investigating the role of the Maresins, a family of pro-resolving lipid mediators, in early cancer development. You will process
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three-year full-time position funded by the EPSRC project INDIMO: Invariant Discovery and Monitoring for Message-Passing Programs, starting around March 2026 (flexible start date). The successful
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international networks, close links to museums and heritage organisations, and an active programme of seminars, workshops, and public events. The post will also require significant amount of time spent
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preventive medicine. The Institute is organised into six research centres which, though complementary and following the Institute’s strategic plan, also have Centre-specific objectives and requirements
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modelling, turbulence modelling, and computational fluid dynamics. Experience in chemical kinetics modelling, multiscale simulation methods, and scientific programming is essential. Experience with plasma
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Trust-funded programme grant. This will involve in-depth biochemical, molecular, genetic and cell biological analysis of the D-arabinanases, leading to the discovery of mycobacterial interactions with
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or statistics. They will bring strong analytical and programming skills, with experience in techniques such as algorithmic auditing, explainable AI (XAI), model evaluation, or reverse engineering of predictive
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in developing countries through excellence in research, healthcare, and training. Our research programme includes basic scientific investigations, clinical trials, epidemiological studies, intervention