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/high level Matlab and Python programming is required) and finite element method modeling. The candidate will participate in international collaborations and meetings and will have the opportunity
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possible in techniques such as finite element modelling. For example, plastic flow of steel is measured experimentally and the data embedded in the model to handle aspects where fundamental plasticity models
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. Candidates are expected to have a strong background in at least one of the following areas: numerical analysis and/or simulation methods for PDEs (in particular finite volume or finite element methods
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the development of high-fidelity finite element models to investigate surface wave propagation in soft biological tissues, forming the foundation for subsequent statistical and machine learning
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, combining finite element with boundary element and perfectly matched layer formulations. These models will be used to compute modal characteristics, as well as dispersion and attenuation curves of guided
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; expertise in computational mechanics and finite element simulation and modeling; expertise in laboratory and multi-scale experimental testing at the material, component, and structural levels. The candidates
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of high-fidelity finite element models to investigate surface wave propagation in soft biological tissues, forming the foundation for subsequent statistical and machine learning frameworks that integrate
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. Other potential areas may include machine design, finite element analysis, and/or engineering mechanics. The successful candidate will be expected to work in a collaborative environment and a research
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-aided design (CAD) experience and demonstrated proficiency. Finite-element analysis (FEA) experience and demonstrated proficiency. Required Documents Cover letter summarizing your relevant experience and
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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