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-time data acquisition during production, consulting, and prototype manufacturing. Graph neural networks provide an opportunity to operate on Mesh structured data utilized in Finite Element Method (FEM
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conventional simulators. Finite element-based methods such as Mixed-Finite-Element or Control-Volume methods are convenient thanks to their suitability for complex unstructured grids. Applications are sought
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Expertise in numerical methods (finite element, finite differences, finite volumes) Expertise in programming (Python, Fortran, R, Matlab) Expertise in geogrpahic infomation systems (QGIS) Expertise in LaTeX
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Simulating Composite Fracture by the Extended Finite Element Method School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr J L Curiel Sosa Application Deadline
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modelling (molecular dynamics, finite element modelling of the battery…). The post-doc candidate will have the opportunity to collaborate with all the members of the LabCom. Where to apply Website https
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a journal publication on the findings. The work will involve physics-based finite element simulations of metamaterial structures, work on analysis methods to understand relations between structure and
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. This unique position combines advanced finite element modeling, machine learning, and experimental studies, while offering the opportunity to contribute to open-source libraries and collaborate directly with an
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by working to develop novel algorithms on finite element method, isogeometric analysis, geometric modeling, machine learning and digital twins to study various applications such as computational
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meeting these needs, this PhD project will involve the research and development of new computational technologies, based on the boundary element and finite element methods, in a high-performance computing
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-source computational tools in a project that aims to create life-saving technology to prevent devastating skull fractures in elderly populations. This unique position combines advanced finite element