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of the project is performance modelling and optimization of 6G radio access networks (RANs) under adverse conditions, resulting from natural disaster or deliberate attacks. The specific focus of your work will be
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the preparation and defence of a PhD thesis in the field of resilient wireless networks. The scope of the project is performance modelling and optimization of 6G radio access networks (RANs) under adverse
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microstructure), and computer science (machine learning and artificial intelligence) to achieve a breakthrough in predictive microstructure imaging with MRI. Within the ADAMI project, you will develop and optimize
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predictive microstructure imaging with MRI. Within the ADAMI project, you will develop and optimize an integrated image analysis pipeline to quantify the neural and glial cell composition of brain regions
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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
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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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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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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