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limitations that cannot be overcome with bigger models and larger datasets. A critical issue is the embedding of hierarchies, for which a different geometry is better suited, namely hyperbolic geometry. Seminal
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and AHWs, using realistic simulations; identify whether and how ecological interactions shift in response to heatwaves, using community-scale mesocosm experiments. The project will be based within
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numerical modelling tools, i.e. a depth-averaged (2DH) and a 3-dimensional (3D) model, in the TELEMAC modelling system (www.openTELEMAC.org ) to simulate the fluxes and fate of plastics in the Scheldt Estuary
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will use a high-fidelity large eddy simulation (LES) code and scientific machine learning tools, such as real-time optimisers, in order to simulate wind farms exposed to various atmospheric inflows. Some
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with simulation environments (e.g., CARLA) or multimodal/LVLM models LanguageRequiremets: Applicants must demonstrate at least B2-level proficiency in the language of their thesis. For details and
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of asphalt mixtures exposed to climate-induced stresses such as temperature fluctuations, moisture variations, and UV radiation. The study will involve both laboratory experiments and numerical modelling
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Simulation Framework The Computational Biology (CoBi) group, led by Prof. Dagmar Iber, develops data-driven, mechanistic models of biological systems using advanced imaging and computational tools. Our group
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in combination with the Porexpert Research Suite to construct numerical models that simulate fluid flow, allowing for the calculation of permeability. These results will be integrated with the field
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about the departments is available at: Project description This PhD project will explore how Artificial Intelligence, in particular AI-based simulations, data-driven modelling, and generative systems
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assessment of chemical plants using HAZOP analysis Use of process modeling and simulation to enhance quantitative assessments Use of machine learning to support HAZOP discussions with the aim of obtaining a