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12 Dec 2025 Job Information Organisation/Company Maastricht University (UM) Research Field Computer science » Modelling tools Computer science » Programming Engineering » Biomaterial engineering
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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 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
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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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the various phases of silicon in various 3D stress configurations. A predictive model should properly account for the complex physics, damage and fracture. The loading conditions in contact and scratching
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, state-of-the-art modelling of microscopic wear of silicon during wafer handling? We are looking for an outstanding and enthusiastic PhD candidate, with a strong computational mechanics profile
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-driven modelling and numerical mathematics leading to computationally fast methods State-of-X (where X is charge, health and/or function) estimation at the pack level. This requires developing
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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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studies of ices or materials. For PhD 3: experience or affinity with numerical modelling, fluid dynamics, or computational physics. Strong analytical skills and the ability to work independently and
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computational mechanics profile, to work on a challenging micro-mechanical modelling project, in an exciting multidisciplinary team. Information The transition to low-carbon steelmaking will significantly alter