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Do you want to lead one of Imperial’s most ambitious deep-science entrepreneurship programmes? We are seeking a Programme Lead to deliver and develop Creative Destruction Lab (CDL) London, working
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, into the research groups of Prof. Oliver Buxton whose expertise is on turbulence, wind-energy flows, and turbulent cloud microphysics and Prof. Luca Magri whose expertise is in scientific machine learning
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how temporal representations trade off with weight precision and memory usage. You will primarily be collaborating with three Imperial College academics: Prof Christos Bouganis, Prof George A
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: Aeronautics Research (PhD) Research Topic: Please use reference number AE0084 Research Supervisor: Prof. Oliver Buxton Research Group: Aeronautics For further information: For questions about the project, email
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London, the University of Oxford, and GSK to establish a world-leading hub for model-informed medicine. You will also be working alongside Prof Steven Niederer’s computational and Prof Saman Sadiquis
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Imperial College London | Belfast International Airport, Northern Ireland | United Kingdom | about 1 month ago
. This is a key role combining strategic partnership development, regulatory expertise, and programme leadership. You will work at senior levels across Imperial, advising leadership on international mobility
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, Imperial College London and City St. George’s, University of London. This is an exciting opportunity to join our new research programme to establish the effect of treatment with a ‘PDE5’ inhibitor (similar
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Sustainable Law Programme and the London School of Economics and Political Science. A stimulating and supportive research environment, with access to a vibrant interdisciplinary community working on climate
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closely related area. Experience with computational fluid dynamics, ideally DNS/LES, and confidence working with large‑scale simulations. Solid programming skills in languages commonly used for scientific
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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