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the perspective of numerical analysis and computational mathematics. The overarching aim of the project is to develop new mathematical theory and algorithms to identify, quantify and, where possible, mitigate
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petrology and geochemistry. Previous experience in petrology and geochemical analysis is required, and a knowledge of numerical modelling of mantle-derived melts is desirable. The research will include use
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About the role We are seeking a full-time Postdoctoral Research Assistant to join the Numerical Analysis research group at the Department of Engineering Science (Osney). The post is funded by Rolls
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About the role We are seeking a full-time Postdoctoral Research Assistant to join the Numerical Analysis research group at the Department of Engineering Science (Osney). The post is funded by Rolls
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activities. You will have: a PhD in an area relevant to the project, like biology, physics, applied mathematics previous experience with computational modelling, method development, and numerical analysis
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to the project, like biology, physics, applied mathematics previous experience with computational modelling, method development, and numerical analysis applied to biology (or allied fields like neuroscience and
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experience with computational modelling, method development, and numerical analysis applied to biology (or allied fields like neuroscience and medicine) the ability to work effectively in a multi-disciplinary
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the research team around Univ.-Prof. Adrian Constantin, PhD. Our ideal candidate has a strong interest in Mathematical Analysis with special backround in Partial Differential Equations and Dynamical Systems, can
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-geostrophic idealised model and use operational and bespoke Met Office model output for case study analysis. You will have : a PhD in atmospheric science, engineering, physics or mathematics (or a closely
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Associate with mathematical modelling and numerical/data analysis background to join our food system resilience project, led by University of Reading, joining a large interdisciplinary team with an excellent