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, your tasks will include: •Designing, executing, and analyzing model-based workflows to study the molecular response of cartilage under mechanical load. •Integrating advanced imaging techniques, including
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Research Infrastructure? No Offer Description We are looking for a researcher to work on the finite element modelling of the interaction between textile materials (yarns and fabrics) and textile
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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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for Molecular Neurology are recruiting a postdoctoral researcher to establish next-generation humanized and engraftment models for studying peripheral neuroimmune mechanisms driving Parkinson’s disease. Building
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trustworthy medical AI? Deep models already outperform humans on many benchmarks, yet in the clinic they remain black boxes: radiologists cannot see why an algorithm flags a lesion, and AI engineers cannot tell
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%) doctoral scholarship holder or postdoctoral researcher in the field of circular value chain modelling and optimisation. Position You will work actively on the preparation and defence of a PhD thesis/Postdoc
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this comparison, we aim to expose the important conceptual mutations of the ideal of educational autonomy occurring from the first paradigm to the latter This research combines history of philosophy and political
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to expose the important conceptual mutations of the ideal of educational autonomy occurring from the first paradigm to the latter This research combines history of philosophy and political philosophy. Through
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spiking neural network modeling, we aim to uncover translational biomarkers and fundamental mechanisms underlying altered inhibitory circuits and network dynamics. The project offers significant