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to energy-efficient artificial intelligence based on temporal neural computation. The project investigates how spiking neural networks, temporal coding, and learned neural delays can enable accurate
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Imperial College London is recruiting an Assistant or Associate Professor in Computational Cardiovascular Medicine to establish and lead an independent research programme in cardiovascular digital
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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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We are seeking an ICT based Technical Delivery Manager, working as part of Research Computing Services at Imperial to help us deliver the forthcoming Research Excellence Framework 2029 (REF 2029
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You will engage in cutting-edge translational research that develops computational models for assessing cardiac biomechanics and for predicting outcomes in cardiac diseases. This includes (1) a
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journals Knowledge of hydrological data collection, curation, and analysis Ability to conduct a detailed review of recent literature Advanced computer skills including scientific data analysis (e.g., Python
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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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Associate (post-doctoral) is to conduct world-leading research on Neuro-Symbolic Debates for Safeguarded Generative AI, under the direction of Prof Francesca Toni, in collaboration with Dr Soteris Demetriou
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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