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, support decision-makers, and advance debris-flow modelling for future research. In this PhD, you will carry out field measurements and run numerical simulations to better understand and predict debris-flow
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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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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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mechanics in general and the following skills in particular: continuum mechanics for large deformations numerical mechanics and analysis (FEM simulations, meshing, etc.) programming skills (Matlab/Python
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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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these are altered in compromised environments (e.g. due to aging or co-morbidities such as diabetes or chronic kidney disease). This research project aims to develop and use in silico models to simulate the bone
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/e for tactile sensor electronics. Contribute to the development of numerical models to simulate soft, large-area robotic skin with embedded tactile sensors, with assistance from the Computer Science
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simulation of the LAFP process while accounting for the aforementioned complexities. In this project, you will: · Develop and implement a multiscale – both spatial and temporal – numerical framework
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, data-driven methods for meshfree simulation directly on large-scale LiDAR point clouds. Job description Accurate urban wind simulations are vital for understanding microclimate, urban heat, and pollutant