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Optimization: Mathematical Phylogenetics During this project, you will work on fundamental graph-theoretic and algorithmic problems in mathematical phylogenetics. Job description The Discrete Mathematics and
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project focuses on meeting demands on bandwidth, reliability, energy efficiency, and sustainability, as well as extended coverage from underwater, terrestrial, and aerial network components, and leverages
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logistics, energy systems, and AI-driven optimization. These problems are widely regarded as the natural domain of quantum computers, yet they remain extremely demanding for both classical digital computers
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need to deal with this increased visibility by reducing their footprint. Reducing the footprint means that supply networks need to be heterogeneous in their transport means, consider alternative energy
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networks also need to evolve, offering, e.g., ubiquitous connectivity and decentralised data-center capabilities to optimize urban performance. This project aims to explore how telecommunications networks
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, flexible, and sustainable production environments. This research addresses the challenge of embedding AM technologies into existing and new factory layouts, while accounting for material flows, energy use
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technologies into existing and new factory layouts, while accounting for material flows, energy use, logistics, and digitalisation. The PhD candidate will develop digital factory models, simulations, and
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, flexible, and sustainable production environments. This research addresses the challenge of embedding AM technologies into existing and new factory layouts, while accounting for material flows, energy use