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materials, notably wear, fretting, and thermo-mechanical fatigue. Experimental studies to support these modelling activities are also of great interest to the group. Visualisation of multiphase fluids with
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filled The overarching aim of this project is to find synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application
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the lead on, plan, develop and conduct individual and/or collaborative research objectives, projects and proposals either as an individual or as part of a broader programme. - To acquire, analyse
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University, and offers unique teaching and research opportunities in a highly dynamic economy. The successful candidate will be expected to contribute to teaching and curriculum development for undergraduate
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University, and offers unique teaching and research opportunities in a highly dynamic economy. The School of Mathematical Sciences at University of Nottingham Ningbo China (UNNC) seeks to fill an academic
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deployment, ensuring that all deliverables meet high standards of performance, scalability, and user experience. This is an exciting, dynamic position offering the chance to engage with cutting-edge
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skills applied to complex mechanical systems. Capability with at least one parametric 3D CAD package. Creating detailed mechanical drawings to BS8888 (or similar) with GD&T. Basic understanding of fluid
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species, so requires the person to have clinical experience of working as a veterinary physiotherapist. The role will also contribute to teaching on the undergraduate veterinary programme. The post will
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to an exciting new effort to accelerate and miniaturise micro-elasticity imaging systems for in-vivo and clinical applications. You will be part of a dynamic, interdisciplinary team aiming
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research group and support teaching to students in their Foundation and 1st year of their degree programme. You will be expected to complete a project on health education/research and where possible, share