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for High-Fidelity Internet-of-Energy Digital Twins Apply for this job See advertisement This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education
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, constitutive modelling, and high-performance computing. The position offers close supervision, access to modern computational infrastructure, and collaboration opportunities across disciplines — from mechanics
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Operation and Analysis (PSOA) at IEL, where we foster an open, inclusive, and collaborative working environment. Our working environment is characterized by a friendly, supportive atmosphere, with regular
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of the obtained data. Perform high-quality scientific research and disseminate the results through relevant channels (such as peer-reviewed scientific journals and international conferences). Work cooperatively and
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world. You will find more information about working at NTNU and the application process here. About the position Studies of phase formation, evolution of microstructure and casting defects in high
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. The research will integrate: Hazard intensity modelling under changing climatic conditions Structural response and vulnerability modelling Reliability and risk assessment Decision-relevant performance metrics
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for our activities on nonlinear and hybrid integrated photonics to carry out experimental research towards realizing hybrid integrated high power tunable lasers and electro-optical frequency combs
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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
aluminium of high recycled content. The use of post-consumer scrap (PCS) in structural components (e.g. for automotive applications) is expected to increase with growing sustainability demands. Understanding
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motivated candidate for a full-time (100%) PhD position for 3 years in “Development of Probabilistic Reliability Criteria in Distribution Grids”. You will join the research group Power System Operation and
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spider web in terms of damage-tolerance and the efficiency of energy dissipation. The developed knowledge will provide design guidelines for high-performance materials to meet industrial needs. A hybrid