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behaves. Previous robot controllers were programmed merely for walking on rigid ground such as laboratory floor. With an advanced geomechanics model describing the properties of natural ground, the project
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is to develop RL controllers that can learn from data while guaranteeing stable and safe operation in complex, nonlinear systems such as chemical plants and energy processes. By validating the approach
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9 Oct 2025 Job Information Organisation/Company Ghent University Department Materials, Textiles and Chemical Engineering Research Field Chemistry » Organic chemistry Computer science » Modelling
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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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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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monitoring will also be integrated into this PhD. Thermal prediction models are currently implemented on a Field Programmable Gate Array (FPGA), while the thermal PI controller (which will be further developed
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developed simulation models in open-source toolboxes such as OpenFAST. For this function, our Brussels Humanities, Sciences & Engineering Campus (Elsene) will serve as your home base.
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uncertainty on the energy yield modeled during the design of the wind farm, increasing the risk for wind farm operators. To reduce this, additional insights are needed. In this PhD, the main focus will
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of the anti-MMP9 Nano-antibodies in a mouse model of delayed healing and a 3 weeks training at Nordic Bioscience( Herlev, Denmark) in the team of Dr. Signe Holm Nielsen to establish a Nano-antibodies based
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promotes their trafficking to the brain, ultimately triggering neuroinflammation. The PhD student will focus on characterizing immune cell responses in food allergy models and their impact on brain immunity