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that can help engineers understand electromagnetic compatibility issues in railway 25kV AC overhead lines. This will include developing models, mathematical techniques and software tools that can predict how
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. This will include developing models, mathematical techniques and software tools that can predict how the power distribution lines, on-train power converters and trackside systems interact, and then to use
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materials, has led to significant theoretical advances on the mathematical description of fabric anisotropy for monotonic loading. However, the quantification of fabric anisotropy during cyclic loading is
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recruits enthusiastic students from across physical sciences, mathematics and engineering who enjoy using their mathematical skills and thinking flexibly to solve complex problems. By developing these skills
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The project combines state-of-the-art advanced mathematical tools and numerical simulations to better understand, predict and control pipeline flows for greener transportation and energy. Working
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are difficult to model and simulate accurately, and in porous media the multiple disparate lengthscales further complicates matters. However, this multi-scale setting also provides beautiful mathematical
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examples below) on the basis of computational simulations. However, these problems are often mathematically ill-posed, meaning there is no single, stable, well-defined solution. This issue may be resolved
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training opportunities in rigorous mathematical and data-driven modelling, with an interdisciplinary mindset. The initial foci are the 3D printing of metals, with Nottingham’s Centre for Additive
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and local communities. Essential: 1- Bachelor/MSc degree in Mathematics, Biostatistics, health informatics or any computational research degree 2- The student should be proficient in one
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students from across physical sciences, mathematics and engineering who enjoy using their mathematical skills and thinking flexibly to solve complex problems. By developing these skills HetSys trains people