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mechanics Computational modelling and finite element analysis Active dissemination of the results in scientific articles and participation in national and international conferences is integral to the job
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in English Solid knowledge in finite element analysis (FEA) and strong skills in FEA software such as ABAQUS Hands-on experience in the construction and application of deep learning neural networks
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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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structural analysis and design. The candidate must have experience in probabilistic modelling and structural reliability methods, as well as non-linear finite element modelling. Mastering of programming
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materials is deemed advantageous. Experience with numerical simulations (e.g., Finite Element, Finite volume, and other techniques) and programming (e.g., Python and MATLAB) is deemed advantageous. Experience