13 computer-science-intern "https:" "https:" "https:" "https:" "Dana Farber Cancer Institute" PhD positions at Imperial College London in United Kingdom
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-engineering/research/ , and details of the EPSRC ADAPT‑EAF Green Steel programme are available at: https://www.imperial.ac.uk/news/266193/imperial-joins-7m-green-steel-research/
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conferences. You will have access to engaging professional development workshops in areas such as research communication, computing and data science, and professional progression through our Early Career
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to engaging professional development workshops in areas such as research communication, computing and data science, and professional progression through our Early Career Researcher Institute . Supervisors: You
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achieved a First-class honours MEng/MSci or higher degree (or international equivalent) in Aeronautics, Mechanical Engineering, Physics or Materials. How to apply: Submit your application via our Apply
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, go to: https://www.imperial.ac.uk/mechanical-engineering/research/ For information on how to apply, go to: http://www.imperial.ac.uk/mechanical-engineering/study/phd/how-to-apply/ For further details
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London in this area, go to: https://www.imperial.ac.uk/mechanical-engineering/research/ For information on how to apply, go to: http://www.imperial.ac.uk/mechanical-engineering/study/phd/how-to-apply
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Location: South Kensington, London About the role: We are recruiting a postgraduate researcher to undertake a PhD project on the technology and protection of multi-terminal MVDC distribution systems
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We are seeking a Research Assistant to enrol in a 3-year Research Doctorate employed at the Department of Civil and Environmental Engineering, Imperial College. The post will carry out research as
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, or even computational architectures. What we are looking for: Research Associate: hold a PhD (or equivalent) in Aerospace Engineering or a closely related discipline. Research Assistant: A first/masters
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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