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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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fundamental research on Event-based Model Predictive Control; Monitor the work plan of her/his individual research project and make sure that milestones are achieved and deliverables are finalized in a timely
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renewable energy generation.KU Leuven leads Modelling and Optimization, which focuses on: Developing hybrid models combining first-principle and machine learning approaches. Creating predictive frameworks
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representations from massive amounts of raw data, typically using large-scale models that incorporate only minimal prior domain knowledge. Such representations can support a wide range of downstream tasks. However
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This interdisciplinary project uses advanced stem cell-based embryo models, called blastoids (developed in the laboratory of Prof. Vincent Pasque), which mimic the early human blastocyst stage. Your work will focus
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. The core objective is to develop advanced 3-D modelling and optimisation methodologies for magnetic components that enable accurate leakage inductance prediction and improved overall performance. Traditional
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environmental factors. To address these challenges, we have developed a preclinical rat model to monitor structural and functional connectivity as well as neuroinflammation non-invasively over several weeks using
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Leuven for doctoral studies.• produce a complete and acceptable doctoral thesis proposal.• conduct this study autonomously under the guidance of the supervisors, and in collaboration with a postdoctoral
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24 Oct 2025 Job Information Organisation/Company KU LEUVEN Research Field Computer science » Modelling tools Computer science » Digital systems Engineering » Biomedical engineering Researcher
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model-based control tailored to systems like NudgeFlow. The framework decomposes the global control problem into smaller local problems for each zone or room, enabling independent optimization with local