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- Delft University of Technology (TU Delft); today published
- Delft University of Technology (TU Delft); yesterday published
- Eindhoven University of Technology (TU/e); today published
- Vrije Universiteit Amsterdam (VU)
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- Leiden University; today published
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- University of Amsterdam (UvA); 10 Oct ’25 published
- Vrije Universiteit Amsterdam (VU); today published
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Field
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on the topic of understanding and predicting the dynamics of complex engineering systems in order to develop advanced control, estimation, planning, learning and diagnostics strategies which are at the core
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collaboration and easy access to key application domains, unique infrastructure, and other computer science researchers. On the VU campus, we have organized multidisciplinary collaborations like the Network
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. The mission of the Dynamics and Control Section is to perform research and train next-generation students on the topic of understanding and predicting the dynamics of complex engineering systems in
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economics/social sciences, network flows, agent-based approaches, integrated systems, holistic design. Application of advanced mathematics such as complexity theory, mean field game theory, or statistical
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such as: managing and maintaining: complex network infrastructure (e.g., configuring firewalls, VLANs, LACP, etc.) advanced compute infrastructure (e.g., supercomputers, GPU machines, Slurm) Linux systems
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tasks such as: managing and maintaining: complex network infrastructure (e.g., configuring firewalls, VLANs, LACP, etc.) advanced compute infrastructure (e.g., supercomputers, GPU machines, Slurm) Linux
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loads, inclusive markets and technology, complex ownership, and power assets connected via power electronics. New and unsolved phenomena such as swarm behaviour of smart power prosumers (consumers and
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communication networks is an essential requirement for all modern security applications. State-of-the-art methods for secret key generation and storage have been developed which are based on fuzzy sources, e.g
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developed into strong and long-term relationships. This network is continuously engaged to find potential matches between internal research interests and external research needs as well as matches
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Science, Decision Science, Complex Systems Engineering & Management or Industrial Ecology. Ability and motivation to establish own research direction and develop novel approaches for the integration