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dynamics, finite element analysis, and material behaviour. Eligible applicants: Students who are enrolled, or who commit to enroll by the time of hiring, in a PhD degree-awarding study programme offered by a
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: Task 1: Damage survey and mapping, based on the on-site surveys, and processing of the existing monitoring data. Task 2: Develop and calibration of a 3D numerical model, based on the Finite Element
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, or AI/ML applications in engineering Demonstrated experience with digital twin development, finite element analysis (FEA), or data-driven manufacturing tools Preferred: Experience working in
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systems. Knowledge of simulation tools (e.g., Multiphysics finite element analysis, Matlab, Labview etc.) cleanroom experience, and characterization of electronic devices are required. Further, knowledge
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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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methodology for steel fibre reinforced concrete structures assisted by nonlinear finite element analysis and artificial intelligence tools”, project number 16782, operation code COMPETE2030-FEDER-00796500
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characterization, and/or component validation and verification. Strong background in CAD, finite element analysis, additive manufacturing, integrated computational materials engineering techniques and software
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science, physics, computational science or similar, with experience in modeling and simulation Strong understanding of the (computational) mechanics of solids and the finite element method and/or spectral
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will have a strong background in numerical analysis and computational mathematics, with proven research contributions in finite element methods, boundary element methods, numerical methods for partial
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to one component of the R35-funded mechanobiology project, which may include: - Computational modeling and quantitative analysis of multicellular morphogenesis. - Experimental studies using multicellular