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, decision) and contexts (exposure to different hazards, or institutional and cultural factors). This limited knowledge hinders a full understanding of societal progress on adaptation worldwide, and in Europe
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Explore trace element thermodynamics in high-temperature systems to control steel quality in the green transition—a PhD bridging experiments, modelling, and industrial impact. Job description The
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whenever a scientific question calls for them. Above all, you enjoy moving across different levels of abstraction, from experimentally grounded models of quantum systems to the mathematical frameworks used
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of Marine Technology at NTNU has a vacancy for a PhD Candidate in Deep Learning enhanced FSI modelling of Multi-modular Floating Structures. The position is part of the AIMOS project (Artificial Intelligence
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-year research project aimed at advancing our understanding of foot growth and deformities in children with cerebral palsy. In this project, you will develop statistical shape models and finite element
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indicators of embankment condition. To support the interpretation of monitoring data, a physics-based train–track–embankment interaction model will be developed using finite element (FE) and/or multibody
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palaeoenvironmental datasets of different temporal and spatial scales, with complicated uncertainties, is also essential. The candidate will work in a leading global centre for deep time and contemporary social and
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combining technology development with process modelling and assessment across the waste value chain. The members of the consortium include 4 other research Universities, 2 Universities of Applied Sciences
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day one, indepenent thinking is encouraged, and you will get all the support you need to further develop your scientific career. PhD Position 1 - Hybrid Traffic Flow Modelling This PhD focuses
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of Physical AI — and they cut across domains that look different on the surface but share the same scientific core: a robot rehearsing a manipulation task in a digital twin, and a biomedical model simulating