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Field
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Computational Neuroscience and related fields as part of the Medical Research Council, UKRI grant “Algebraic topology bridging the gap between single neurons and networks”. They will be expected to conduct
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, provide instruction, or plan/deliver seminars relating to the research area. A background (demonstrated by publications) is expected in exploring high Reynolds number fluid flows using numerical methods
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impact of collective effects on beam stability and associated mitigation methods, commissioning of the injector complex and storage ring injection studies. The successful candidate will actively
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analytic methods for evaluating Lyapunov exponents. You will work closely with Dr Christodoulidi throughout the project. The position requires the ability to carry out both analytical and numerical tasks
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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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institute is expanding this approach to detect a wider range of biological molecules, including volatiles in human breath. In parallel, the Institute is developing state-of-the-art methods that integrate
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Postdoctoral Research Associate Associate in the Institute for Computational Cosmology and Centre for Extragalactic Astronomy, Physics Department ( Job Number: 25001464) Department of Physics Grade
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. About You The ideal candidate will have a PhD in a numerate field, be familiar with medical image analysis using deep learning methods, have experience with GitHub and relevant programming languages
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. About You The ideal candidate will have a PhD in a numerate field, be familiar with medical image analysis using deep learning methods, have experience with GitHub and relevant programming languages
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knowledge in the discipline and of research methods and techniques to work within established research programmes. Applicants will be able to work with data from numerical weather prediction (NWP) models and