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Description We are looking for a PhD-candidate interested in topics that lie on the border of optimization by the use of heuristic algorithms and (Explainable) Artificial Intelligence ((X)AI). Specifically, in
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PhD student to establish recipes to provide post-plasma catalysis with different C2Hy distributions and different enthalpy content for optimization of post-plasma catalysis into C2H4. PhD candidate in
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, identification of biomarkers and haemostatic modifiers with multi-omics approaches, an AI-driven bleeding prediction model, and a cost-effective algorithm for bleeding evaluation. All BDUC patients registered
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and mass transfer in thermal arc plasma source to engineer a reactor for direct C2H4 production. Specific objectives include establishing evolution of species distributions by in situ line-of-site
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vitro models that enable more realistic, spatiotemporal cell–cell and cell–matrix interactions as well as distribution of soluble factors. The Materials-Driven Regeneration program The Materials-Driven