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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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-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
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and written. Solid skills in computer programming (Python / Matlab). Experience with CAD and CAE tools. Knowledge of computational fluid dynamics (CFD). Knowledge of finite element method (FEM
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of computational fluid dynamics (CFD). Knowledge of finite element method (FEM). Meritorious: It is also an advantage if you have experience with: Machine learning. Coupling algorithms of fluid-structure interaction
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programming Merits: Experience in modelling erosion problems Understanding of critical state soil mechanics, elasto-plastic and elasto-viscoplastic models Experience in numerical analyses (using finite elements
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and responsible development of the maritime industry. We address the multiple pressures that ships pose on the ocean and try to bridge the gap towards environmental management and marine spatial
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the laboratory and department. This position offers the opportunity to be deeply involved in world-class research and to play a central role in advancing our experimental methods and laboratory capabilities
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in world-class research and to play a central role in advancing our experimental methods and laboratory capabilities. The department and research environment The Department of Microtechnology and
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catalytic processes. The work aims to advance technologies that enable more resource-efficient and environmentally friendly production methods. About us This position is at Chemical Engineering division
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Built Environments Research Area (Sustainable Building group) at the Department of Architecture and Civil Engineering . This research area focuses on developing methods, tools, and strategies to enhance