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on physics-based computational modelling. Key activities include crystal-plasticity-based finite-element (CPFE) simulations, unit-cell and microstructure-resolved models, and the development of modelling
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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
15th March 2026 Languages English English English The Department of Materials Science and Engineering has a vacancy for a SFI FAST: PhD position in Microstructure/texture evolution during extrusion
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: Digital twin development for heritage risk preparedness AI-based predictive monitoring (humidity, flooding, structural stress) Integration of GIS/BIM, LiDAR and IoT telemetry Federated data architecture and
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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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institution, we shall contribute to sustainable and democratic development and be an attractive and inclusive place to study and work. ... (Video unable to load from YouTube. Accept cookie and refresh page
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infrastructure. Collaboration with leading partners in Europe and worldwide. Competitive salary and benefits. Flexibility for career development and independence. Good pension and insurance schemes. Duration and
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democratic development and be an attractive and inclusive place to study and work. ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) PhD
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to be made in accordance with NTNUs guidelines for recruitment positions and Regulations for the degrees philosophiae doctor (ph.d.) and philosophiae doctor (ph.d.) in artistic development work at the
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to research, development and demonstration of a methodology for building and integrating machine learning solutions for past technical artefacts. Contributing to the development of holistic view of product
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the analysis of linked health registries though the development, implementation and application of methods for causal inference in time-to-event outcomes. For more information and how to apply: https