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the PhD, you will gain expertise in finite element modelling, electronic control and instrumentation, machine learning, experimental methods, and advanced signal processing. You will also build strong
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of Finite Element Method, and FEniCS/Firedrake/Dune. Excellent communication and organisational skills. The ability to work independently and as part of a multidisciplinary and multicultural team. Networking
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to engineering phenomena, especially in the areas of structural engineering; Have applied knowledge in the finite element method; Have proven experience in software development in C, C++, C# or Python programming
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) and multiaxial regimes (tension–compression–torsion; axial–axial cruciform in-phase and anti-phase), using modal and dynamic analyses through finite element software, and experimental frequency analyses
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suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme Excellent oral and written presentation skills in English Solid knowledge in finite element
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with, enhance or replace established methods from computational engineering and computer simulation (such as the finite element method) to represent and exploit relationships along the composition
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Health Monitoring (SHM) and Weigh-In-Motion (WIM) systems integrated with advanced probabilistic methods, machine learning and Artificial Intelligence (AI) approaches, and 2) advanced Finite Element (FE
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, enhance or replace established methods from computational engineering and computer simulation (such as the finite element method) to represent and exploit relationships along the composition-process
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underexplored. Coupled numerical models of the tunnel and surrounding soil will be developed, combining finite element with boundary element and perfectly matched layer formulations. These models will be used
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Structural Design, e.g. robust design under uncertainty and reliability analysis of full-scale wind systems, complementing established project activities in: multi-scale finite-element modelling