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trajectories of individuals and households with a migration background in Belgium, focusing on hazard and microsimulation models of demographic events in multiple life domains. You contribute to the development
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for a full-time (100%) senior researcher to establish next-generation humanized models for studying peripheral neuroimmunity in Parkinson’s disease The Laboratories for Gut-Immune-Brain Axis Research
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-generation humanized models for studying peripheral neuroimmunity in Parkinson’s disease The Laboratories for Gut-Immune-Brain Axis Research (GIBA, Prof. Seppe De Schepper) and the Microglia and Inflammation
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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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complexity. The innovative integration of classical (longitudinal) methodology with digital humanities tools and methods (especially large language models) at the intersection of theoretical frameworks on life
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background in AI/ML, preferably with hands-on experience in deep generative models (e.g., VAEs, GANs, diffusion models, transformers). Solid programming skills in Python, including familiarity with TensorFlow
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, followed by post-plasma catalysis into C2H4; (2) fully coupled modelling (i.e., plasma fluid dynamics and plasma + catalyst surface chemistry) for plasma-based CH4 conversion with post-plasma catalysis
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behind anticipating events and taking preventive or adaptive actions, in ways that fit the context and needs of the explainee (human or machine. By making proactive decision-making transparent and
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developing deep learning-based methods for modeling extreme events such as floods, droughts, and compound extreme events and exploring their drivers. You will publish scientific articles related