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developing the theoretical and algorithmic foundations of compositional world models. A key application focus of the grant lies in rapid and safe real-world skill acquisition in application domains such as
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the commercialisation of all-solid-state batteries. Of particular interest is the development of electro-chemo-mechanical phase field models to predict void evolution and dendrite growth (see, e.g., doi.org/10.1016
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operational efficiency. Led by Professor Chris Holmes, the centre will initially focus on the following thematic areas: Decision analysis under model misspecification Uncertainty quantification around LLMs
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the commercialisation of all-solid-state batteries. Of particular interest is the development of electro-chemo-mechanical phase field models to predict void evolution and dendrite growth (see, e.g., doi.org/10.1016
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partial drainage effects. You will contribute to the numerical modelling part of the project, which will benefit from novel element level and centrifuge testing experimental results. You will set up and
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catalytic turbomachines—compact devices that combine chemical reaction and flow functions—using a novel machine-learning-based method, ChemZIP, to accelerate the modelling of complex catalytic and gas-phase
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the human microbiome with proficiency in laboratory-based immunology techniques, such as flow cytometry and ELISA. You must have demonstrated experience of in vivo models of inflammatory disease and a
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flow cytometry and ELISA. You must have demonstrated experience of in vivo models of inflammatory disease and a flexible approach to dealing with research problems as they arise. You must demonstrate
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. At present there is specific interest in advanced 3D perception techniques such as geometric foundation models, implicit neural rendering (NeRF, Gaussian Splatting) as well as semantic mapping. Our research
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operational efficiency. Led by Professor Chris Holmes, the centre will initially focus on the following thematic areas: Decision analysis under model misspecification Uncertainty quantification around LLMs