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proactive decision-making. Good understanding of mathematical optimization techniques for resource allocation and multi-objective trade-offs. Background knowledge in mobile and satellite networks, network
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generative AI algorithms and translate them into intuitive explanations. Interest in cyber-physical systems (CPS) and eco-cognition modeling. Good understanding of mathematical optimization techniques
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maximize conversion performance by optimization of catalyst materials in combination with tuning of reaction conditions and electrolyzer / process engineering. In the research group ELCAT you will be in
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to the setup and optimization of novel xenotransplantation models. Collaborate across VIB (GIBA and MIND labs, amongst others) and international partners to integrate immunology, stem cell technology, and
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ERC-funded pioneering research line at the interface of neuroimmunology, stem cell biology, and neurodegeneration. Contribute to the setup and optimization of novel xenotransplantation models