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Modelling for Dementia Support Technologies Our goal: This PhD project is part of the European project DEM-CAPS (www.demcaps.org ) aimed at developing and validating a health-economic modelling framework
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. To test this hypothesis, the candidate will apply methods that include magnetoencephalography (MEG), brain stimulation, neurofeedback, and computational modelling. The project includes a collaboration with
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models of structural disorder based on the periodic average structure, crystal chemistry, and complementary information Generation of a dataset to train ML models Simulation of the corresponding
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Your position The candidate will have the opportunity to exploit some of the cutting-edge experimental and computational methods, comprising constraint-based and kinetic modeling, statistical
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Your Job: Determination of the lipid composition in human endothelial cells with and without oxidative stress Development of model membranes to mimic the endothelial membrane composition Analyzing
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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The Doctoral Candidate will: Perform numerical modelling of the three NDE techniques to evaluate the influence of relevant material property gradients on each NDE observable generating a sizable synthetic
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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, to create a responsible and innovative university to serve as a model for the 21st century. Within ICN, the ChemSenSim group (https://lab.chemsensim.fr/ ) develops interdisciplinary research projects
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Large vision–language models (LVLMs) can describe driving scenes and support decisions [Li25], but they sometimes hallucinate objects, relations, or events that are not present [Liu24,Liu25]. In a