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? And how much can we trust the reconstruction? Answering these questions requires pushing the limits of numerical analysis and computation for wave equations and inverse problems. As a PhD candidate, you
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we see what is hidden? And how much can we trust the reconstruction? Answering these questions requires pushing the limits of numerical analysis and computation for wave equations and inverse problems
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across diverse rock types and integration with predictive models remains lacking. In this PhD study, you will be performing experiments and numerical simulations to understand and predict the clogging
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We invite applications for a fully funded PhD position in the field of numerical modelling of iron electrodeposition, i.e., multiphase flows involving phase change, using fully resolved CFD methods
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from the physics and mechanics of the underlying multi-phase microstructure. An integrated numerical-experimental approach is generally adopted for this goal. A state-of-the-art computing infrastructure
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and computation to solve hard problems? As our colleague, you’ll advance simulation strategies for indefinite systems in plasma fusion and quantum physics. Job description The Numerical Analysis group
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experiments and numerical simulations to understand and predict the clogging evolution in a range of geological media by: Quantifying physical and chemical clogging dynamics across a spectrum of rock types
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systematic investigation across diverse rock types and integration with predictive models remains lacking. In this PhD study, you will be performing experiments and numerical simulations to understand and
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Building engineer or Environmental Science, Planning, Engineering, computer science, innovation science or related fields with demonstrable experience in spatial analysis and numerical modelling
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(e.g, plasticity, damage, fracture), which emerges from the physics and mechanics of the underlying multi-phase microstructure. An integrated numerical-experimental approach is generally adopted for