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using CT scanning, sorption measurements and characterization of the moisture state, modelling of freezable water, frost exposure testing, and mechanical characterization including strength, DIC, dynamic
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, but it relies heavily on experienced human instructors, whose availability is limited. Recent advances in artificial intelligence, especially large language models (LLMs), enable the development
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, especially large language models (LLMs), enable the development of interactive AI agents that can support human learning in complex, safety-critical environments. Human-centered AI in this project means
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employment.. Required selection criteria You must have a relevant Master's degree in electric power engineering or equivalent with knowledge in power systems and control. Your course of study must correspond
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reflection interpretation (2D regional and 3D blocks), potential field modelling, and plate reconstructions. The total duration of the Ph.D. position is three years, starting by August 1st 2026. The PhD
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Engineering, Operations Management or equivalent. Your course of study must correspond to a five-year Norwegian course, where 120 credits have been obtained at master's level. Master students can apply, but
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mechanisms for accumulating knowledge and experience. Simulation-based testing frameworks including co-simulation and large-scale virtual testing environments. Integration of hybrid world models, combining
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image data and a combination of traditional material/imaging models and modern ML-based approaches; 3) Spectral library of painting materials over VNIR-SWIR-MWIR ranges Key exploitable results (KER): Open
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, analysis, visualisation tool 2) A new method for mapping materials (substrate, pigments, binders...) from spectral image data and a combination of traditional material/imaging models and modern ML-based
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tools often fail to predict stability issues due to model inaccuracies and the uncharacterized dynamics of PECs, which are typically proprietary and not fully disclosed by manufacturers. Efforts