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to understand complex systems and processes, and solving practically relevant problems to support a sustainable and healthy society. The laboratory has an extensive experience in investigating coupled
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Control Laboratory (IfA), we develop methods and tools to model, design, control and assess complex systems emerging in real-world applications such as the transportation network, control of autonomous and
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to help research in strategic areas (porous materials science, carbon negative technologies, and renewable energy integration), employing numerical simulations to understand complex systems and processes
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infrastructure networks and complex energy systems by quantitatively defining reliability, resilience, and risk within these systems. With our modelling, we inform policymakers in the transition to resilient, fair
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(amount of services run) and attract more travellers to match the ambitious targets from policy and environmental goals. One key aspect of traditional railway transport systems is the complexity of aspects
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contribute to a better understanding of protein structure on a large scale. Areas of interest in the lab include: structural models of whole cell interactions networks and large protein complex assemblies
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on complex problems with an urge to understand phenomena at their roots. You are highly motivated, self-organized, independent, creative, and used to thinking sideways. You know how to organize your working