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The Oxford-GSK Institute of Molecular & Computational Medicine has a new and exciting opportunity for a Postdoctoral Researcher, specialising in Neuronal Dysfunction in Alzheimer’s Disease, to join
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of mathematical proof automation: You identify and address research questions in the field of mathematical automation in numerical analysis or approximation theory. You implement the developed methods in Lean. You
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and leading a programme of numerical simulations relating to all aspects of our research on P-MoPAs; using particle-in-cell computer codes hosted on local and national high-performance computing
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mathematical and computational techniques, it is essential to have experience in mathematical modelling / dynamical systems theory / numerical methods / coding. An ideal candidate would have a PhD, or
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out research work, analytically and numerically, jointly with the co-investigator and the project research team in the area of inference, information build-up and learning methods in the general context
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than 30 people, including parallel post-doctoral researchers in four other countries, and led by Prof Ben Baumberg Geiger at King’s. Secondly, it’s located within the Centre for Society and Mental Health
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a catch: in most real-world scenarios, this equation lives in very high-dimensional spaces, making its numerical solution a serious computational challenge. This project aims to tackle that head-on by
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than 30 people, including parallel post-doctoral researchers in four other countries, and led by Prof Ben Baumberg Geiger at King’s. Secondly, it’s located within the Centre for Society and Mental Health
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a testbed of micromorphic numerical models, and metamaterials. Proposing experimental methods to obtain micromorphic models under small and large strain, with coupled uncertainty quantification
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programme grant with partners across the UK to facilitate the use of hydrogen for aviation, and in particular the icing vulnerability of heat exchangers and parts of the airframe. You will work to generate