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for complex models, causal inference and survival models, measurement uncertainty, and research for clinical trials and observational studies - and numerous collaborations with leading bio-medical research
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of the position. The successful candidate will have a solid theoretical foundation in one or more of the topics: Computational Mechanics, Finite Element Analysis (FEA), Numerical Optimization
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, solid mechanics, and mechanics of materials Experience from numerical simulations, preferably finite element analysis Excellent written presentation skills and oral English language skill PLEASE NOTE: For
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at high spatial resolution Model degradation of fire-retardant-treated and coated wood under outdoor exposure Integrate hyperspectral and other remote sensing data with numerical simulations Contribute to a
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. AI-based performance assessment in early design, integrating rapid analysis tools, multi-criteria performance estimation, and surrogate modeling. Human–AI collaboration in design, including agent-based
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early design, integrating rapid analysis tools, multi-criteria performance estimation, and surrogate modeling. Human–AI collaboration in design, including agent-based platforms, co-creation workflows, and
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within the framework described above. Academic publications and popular science dissemination. Contribute in the SURE-AI project activities. Participate in the Differential Equations and Numerical Analysis
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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
models. Profiles of varying complexity will be studied. The candidate will establish and validate numerical simulations, collaborate with industrial partners, and demonstrate results through relevant
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. The position focuses on the development of bioinspired randomly featured materials with enhanced energy absorption. As a candidate, you will establish a hybrid numerical and data-driven bioinspired design
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dedicated to the study of all aspects of concrete. Our research interests range from the material to the structural level and are based on theoretical, numerical, and experimental investigations. The PhD