33 computer-science-intern "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs at Imperial College London
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on the degree to which air quality controllability might be affected by SRM using chemistry-climate and chemistry-transport model simulations. You will investigate how an enhanced stratospheric aerosol layer
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at the intersection of theory, computation, and high‑fidelity simulation, the successful candidate will contribute to the development of a novel ensemble-based framework for analysing driven perturbations in wall
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-tier conferences and journals in AI as well as, ideally, AI and Law. A strong computer science background with a focus on AI with experience, including a proven publication track-record, in at least two
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connected large wind energy system dynamic modelling, control and analysis. In particular, the objective of this research programme is to lay the foundations of a new, model and methodology for Advanced wind
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technology, education and training, surgical science, Health Policy, Design and Innovation for healthcare, Safety and Quality, and Antimicrobial Resistance (AMR). Key responsibilities in associated Hospital
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, chemical, biological or computational science, an interest in theoretical modelling and curiosity about engineering complex biological and biochemical systems. The opportunity to study for a PhD at a world
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, and collaborative projects. You should have a masters degree or equivalent in Neuroscience, Computer Science, Mathematics, Biomedical Engineering, or a related discipline with a focus on machine
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The post is within the Thanzi La Mawa programme. The primary objective of this team is to improve population health and reduce health inequalities by helping to enhance the efficiency and equity
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across West London, we will be looking at the impact of air quality on our health and delivering a programme of outreach and public engagement. The Research Assistant is crucial to the success
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We are seeking to appoint a Clinical Research Fellow to undertake work in surgical oncology. The successful candidate will work within a dynamic multidisciplinary team investigating the biology and