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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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of the interactions between building stocks, heat and cooling demand, and electricity distribution networks. They will develop new computational approaches, contribute to the expansion of existing modelling tools, and
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, interpretability and cognitive modelling of language models. The group is part of the UCL ELLIS Unit and has links to the UCL AI Centre and UCL Computer Science. About the role The postholder will carry out original
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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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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
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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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author scientific publication/s in an international, peer reviewed journal/s. You will also possess research experience in enteric nervous system models/enteric nervous system stem cell biology
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discipline such as Biotechnology and/or ideally possess experience in one or more of the fo llowing areas: bioprocess modelling, upstream or downstream processing, and bioremediation. For informal enquiries
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computational modelling of magnetic field distributions and sensor performance, materials and device engineering (spin defect characterisation, optically detected magnetic resonance (ODMR), sensor packaging and