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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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and Saeys teams. In this research project you will develop and apply algorithms to link clinical phenotypes of metastasis to molecular phenotypes in mouse models. It is known that metastases exhibit
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partially filled containers – is a major challenge in aerospace, transport, and energy systems, where it can compromise stability and safety. The PhD will focus on developing low-order models of sloshing
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. The PhD student will focus on characterizing immune cell responses in food allergy models and their impact on brain immunity. In close collaboration with experts in food allergy, neuroimmunology, and
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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
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and analysis. Advanced Analytics: Implement analysis modules for methylation calling, structural variant detection, fragmentation-based signatures and multi-omics integration. Machine Learning
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approaches are often impractical in multi-zone dwellings with dynamic conditions. However, recent advancements in IoT sensing and open building automation platforms now enable the development of distributed
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To analyse tick abundance data To collect and analyse tick abundance data in relation to forest management in the context of climate change To apply an existing population dynamic model to our study cases
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modelling and density functional theory calculations will be used to further increase our understanding of the photo-reduction mechanism. Correlating these theoretical insights with the structure and activity
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pathway. Additionally, finite element theoretical modelling and density functional theory calculations will be used to further increase our understanding of the photo-reduction mechanism. Correlating