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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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) machine learning. The project will focus on one or a combination of the following focus areas, tailored to the candidate’s expertise and interests: Developing numerical models for the coupled mechanical
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the numerical co-project, e.g. material parameters and the friction coefficient in the different scratch regimes. The experimental campaign will be guided by the insights from numerical simulations
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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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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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? Computationally skilled and analytically strong – You have a Master’s degree in mathematical biology, computational mathematics, biomedical engineering, numerical optimization, biophysics, systems biology
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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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the development of a more practical numerical model (e.g. Delft3D) that will be developed within another SOURCE PhD project to predict nourishments’ lifetime, spreading and impacts on coastal state indicators