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numerical modelling approach for simulating root-soil interaction, coupled with physical model testing to determine root-soil interaction parameters. The results of this phase of the project will have direct
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trustworthy mathematical models that are calibrated to measurement data. We are motivated by applications in engineering in which the system models are partial differential equations (PDEs) with potentially
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PHD DEVELOPMENT AND EXPERIMENTAL VALIDATION OF UNDERGROUND SAND-BASED THERMAL ENERGY STORAGE SYSTEMS
mechanical stability. You will support data acquisition and sensor setup for temperature profiling, model calibration and validation. You will apply multi-physical numerical modeling to develop 3D coupled
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education until obtaining a PhD degree Develop mathematical models, and obtain numerical solutions for the research topics as agreed, and described above Preparation of scientific papers Dissemination
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factors, including geographic location, hydrodynamic conditions, and water depth. This PhD will build upon numerical modelling studies to employ physical modelling experiments in state-of-the-art facilities
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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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to demonstrate consistent knowledge in areas such as structural monitoring and/or engineering mechanics and/or numerical modelling and/or data post-processing. The research activities will be performed within
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You will receive project-specific training in numerical modelling tools and techniques and in machine learning. Eligibility requirements If you have received a First-class Honours degree, or a 2:1
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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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demonstrated for the first time at industrial scale. While the ICP principle has already been successfully tested in laboratory models, transferring it to industrial applications in the range of approximately 1