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support a high-value materials characterisation programme as a postdoctoral researcher. The ability to think outside the box with creativity, along with having the drive and ambition to develop those ideas
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will contribute to the development of a new simulation-based pre-training framework for building more robust and trustworthy machine learning-based clinical prediction models. Funded by the Medical
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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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shelves, the breakup of which can speed up flow of grounded ice and affect global sea level, and on the highly specialised Antarctic biodiversity. This ambitious programme brings together leading UK (BAS
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relevant to setting a roadmap for ongoing experiments, as well as recently developed applications of tensor network techniques to large-scale partial differential equations. We are advertising two positions
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to autoimmunity, allergy, and transplant rejections. Our research is focused on understanding how T cells make these critical response decisions. We aim to develop a quantitative understanding of how signals from
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reactions. The work will extend ChemZIP to handle catalytic chemistry, develop a reduced-order 1D network model linking reaction and pressure-drop effects, and use it to optimise catalytic structures within
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hold, or be close to completion of a DPhil/PhD in wearable sensors or a closely related field and possess sufficient specialist knowledge in the discipline to work within established research programmes
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We are seeking a Postdoctoral Research Associate to support our projects to understand membrane evolution. The aim of this project is to understand the evolution of the membrane proteome across
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About the role We are seeking a highly motivated and ambitious Postdoctoral Researcher. This position focuses on developing innovative cancer treatments, particularly within the field of antibody