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candidate will be supervised by P.M. Congedo, E. Denimal Goy and Olivier Le Maître, experts in uncertainty quantification methods. The work will be conducted in the Platon team, a joint research group between
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) offer a solution by integrating physical laws with complex data. However, their effectiveness is still hindered by uncertainties related to both data and models. Strengthening their robustness requires
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multidisciplinary project is to develop design strategies to anticipate and prevent ‘rebound effects’ in the smart home by exploring the potential of aesthetics of uncertainty, instability and emergence
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), uncertainty quantification, and atomistic simulations within the FNR-funded UMLFF project. MLFFs have transformed atomistic simulations, offering quantum-chemical accuracy for large systems. However, they
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drought resilience and adaptation. Current groundwater flow models, however, often exhibit important uncertainties related to input parameters and boundary conditions. Reducing this uncertainty is difficult
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Fotograf Morten Hjertø 30th April 2026 Languages English English English The Department of Ocean Operations and Civil Engineering has a vacancy for a PhD Candidate in AI-Enabled Uncertainty Analysis
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interconnected Internet-of-Energy (IoE) ecosystems. In this context, the MSCA Doctoral Network project SAILING (https://Secure AI and Digital Twin Empowered Smart Internet-of-Energy ) aims to establish a
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, or uncertainty-aware modelling techniques. Evidence of research activity, such as a Master’s thesis, research project, conference paper, or journal publication. English language requirements: International/EU
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-fidelity analyses with observational data to yield robust, uncertainty-aware predictions. Outcomes include a transparent, open-source toolkit for catastrophic risk and fragility assessment, integration
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supply chain restructuring as geopolitical volatility, trade disruptions and regulatory uncertainty challenge long established globalised production models. This dissertation investigates how