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Field
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transition depends on data that almost no one is allowed to see. Distribution system operators (DSOs), municipalities and energy communities need high-resolution grid and consumption data to plan grid
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environments, and distributional shifts. The research will combine probabilistic modelling, network-based representations, and modern AI methods to enable scalable and interpretable decision-making in complex
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routes entangled photons in the presence of classical telecom traffic in multi-node quantum networks. Information Efficient distribution and routing of entanglement are indispensable for quantum‑secure
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edge devices in distributed and collaborative IoT scenarios; ii) strategies for efficient and adaptive learning on-device or across a network of heterogeneous nodes while minimizing energy consumption
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with other PhD candidates and postdocs, and opportunities for research to stay with partners, both nationally and abroad, through its international network. This PhD position “Distributed Optimization
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congestion challenges for electricity distribution grids. At the same time, effective planning depends on access to data from multiple stakeholders - including municipalities, distribution system operators
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tomorrow's quantum optical networks, within the European QuNEST network. Information You will analyse and design advanced Forward Error Correction (FEC) codes for high-throughput optical communication systems
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Join TU Delft to help shape the future of wireless communication systems. Our research spans 6G, satellite communications, wireless sensing, and non-terrestrial networks (NTN), addressing
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and laser-scan data. These models underpin decisions impacting net-zero ambitions, yet interpretation remains slow and subjective. We need tools that make geological reasoning faster, more transparent
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capable of integrating quantum key distribution methods and embedding post-quantum cryptographic techniques within the framework. Develop a synchronisation mechanism to combine multiple, differently-paced