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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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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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. 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 validate numerical
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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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Chris Holmes, the centre will initially focus on the following thematic areas: • Decision analysis under model misspecification • Uncertainty quantification around LLMs • Constrained
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performance in heavy industry. You’ll develop and apply state-of-the-art modelling, characterisation, and machine learning techniques to understand how batteries behave and age. Collaborating with project
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and apply state-of-the-art modelling, characterisation, and machine learning techniques to understand how batteries behave and age. Collaborating with project partners, you’ll turn these insights
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. You must have demonstrated experience in in in vivo models of inflammatory disease and a flexible approach to dealing with research problems as they arise. You must demonstrate excellent communication
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together with industrial partners? Do you like supervising students and participating in teaching? If you are a creative and analytical person and have a PhD in a field related to mathematical modeling and
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Applications are invited for a Postdoctoral Researcher in Health Modelling, to work with a team working with Dr Ben Amies-Cull on a research programme on the Cities for Better Health: Child Obesity