148 computer-science-intern "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Imperial College London
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team whose interdisciplinary research ranks as one of the global premier academic departments of surgery. You will be expected to lead an academic programme in Colorectal Surgery. The programme would be
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force for good in the world. Through our Imperial Class of 2030 programme, the continued development of our White City Deep Tech Campus, and cross-institutional School of Convergence Science focused
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Do you want to shape public health policy as a Research Associate in Food Policy? Join our team on the UPForesight Project, funded by NIHR Public Health Research Programme, to help reduce ultra
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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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, research centres and capital projects, and delivers a strong engagement programme for alumni. Alumni of Imperial play a crucial role in supporting the university’s long‑term success, benefiting from a global
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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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, environmental epidemiology, data science/biostatistics and computational epidemiology, working closely with other academic staff and postdoctoral staff within the School. Additionally, you will play a key role in
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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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and postgraduates across all years of study, working closely with academic departments, employers, alumni and internal partners to create impactful career support, insight opportunities and development
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As a Research Associate in Data-Driven Optimisation, you will work at the interface of chemical engineering, machine learning and automation, to develop next-generation workflows for the design and