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strategic priorities in Digital Twins, Environmental Intelligence, and Data-Driven Engineering, using advanced computational modelling to support ecosystem resilience and sustainable management. The project’s
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their suitability for real-time emergency decision-making. This project addresses this challenge by combining physics-based modelling with data driven surrogate approaches. The first stage of the project will involve
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/Computer Engineering, Computer Science, Applied Maths or related. Strong skills in AI techniques/ML/optimisation (Python/Matlab); familiarity with probabilistic modelling, time-series or control/power
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-based modelling with data driven surrogate approaches. The first stage of the project will involve the development of a multi-layer hydrodynamic model capable of representing key three-dimensional flow
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-driven/model-based AI methods to analyse time series of clinical data coming from sensors, enriched by the possible trajectories of relevant human patho-physiology models of interest for: Phenotype
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, an expert-driven, manual, and time-consuming process used to simplify CAD models so that meshing tools can cope with small-scale features such as fillets and manufacturing details. This de-featuring is not
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21 Dec 2025 Job Information Organisation/Company Aalborg Universitet Department The Faculty of Engineering and Science, Department of Energy, Esbjerg Energy Section Research Field Engineering
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a strong background in computational modeling, optimization, and systems engineering, eager to develop advanced design and simulation frameworks for battery pack topology and e-powertrain integration
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-analytic purposes and questions; collaborate with a technical assistant, another PhD candidate (on geodata source modeling), and a postdoc (on the GeoQA reasoning engine). This position is ideal for someone
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the University of Warwick. Project outline: Modelling light-driven processes and charge transfer across molecule-metal interfaces is instrumental for the development of next-generation molecular optoelectronic