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Energy Institute aims to help to build a globally sustainable energy system, by bringing to bear multiple disciplinary perspectives to observe, analyse, model and interpret energy use and energy systems
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research on machine cognition, focusing on how language model agents and related artificial neural network systems represent beliefs and goals. The project will investigate whether such systems represent
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acquisition tools, signal processing methods and advanced data analytics. The successful candidate will also develop computational models of light transport in biological tissues, including Monte Carlo-based
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role The successful candidate will develop and evaluate AI-based spatio-temporal forecasting models for electricity demand at motorway EV charging hubs, integrating transport, charging, weather, and
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of stem cell-based therapies for Hirschsprung disease. About you You will hold a PhD degree in experimental biology, anatomy, physiology, neuroscience, or a relevant subject area and have evidence of first
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discoveries closer to the people who need them. The vision of the UNESCO Chair in DRR & RE is to co-create a common culture of resilience and sustainability, based on engineering principles, to deliver safer
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for future technologies. About the role A new Postdoctoral Research Assistant position in Bioprocess Design for Metal Recovery is now available. Based in the UCL Department of Biochemical Engineering, the post
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, biochemistry and, increasingly, biomedicine. We are appointing a Research Fellow to develop quantum sensors based on optically readable spin defects (such as nitrogen-vacancy centres in diamond) and translate
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Fellow to join an exciting interdisciplinary research programme. This is a unique opportunity to investigate mechanisms of cancer dormancy and develop predictive models of late recurrence in oestrogen
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initial imaging modality. The postholder will develop computational pipelines and AI models for multimodal image reconstruction, enhancement, fusion and validation. They will also contribute to benchmarking