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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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employee, the staff member is entitled to numerous benefits associated with employment at KU Leuven (e.g., a wide range of free courses and training, bicycle and bicycle allowance, train subscription, etc
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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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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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. 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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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
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trained in the theoretical modelling of the chiral surfaces. You are a motivated researcher with a Master in physics, chemistry, nanotechnology, or related fields. You have knowledge of scanning tunneling
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analyse levels of identified proteins in a larger patient population as well as an animal model of the Fontan circulation.• You will use in vitro techniques and immunohistochemsitry on an animal model
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off-the-shelf sensors and the development of resilient algorithms that combine first-principles modeling with modern machine learning techniques. The goal is to push the boundaries of robust perception