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this PhD project at TU Delft, you will develop distributed computational methods for game-theoretic control and optimization to address these challenges. As part of the European Research Council (ERC)-funded
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distributes and 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
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an image. Modern inverse freeform design methods compute surfaces that convert a given source light distribution to a desired target light distribution. These can be used to guide the design process for
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? The transition to sustainable heating requires close collaboration between municipalities, distribution system operators (DSOs), households and other stakeholders. Effective planning depends on the ability
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of compute processors. Today’s AI compute processors have multi-Terabit/s interfaces to share intermediate data for distributed training and processing, generating large traffic flows. Low and deterministic
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, distribution system operators (DSOs), households and other stakeholders. Effective planning depends on the ability to share and combine data from diverse sources, including building characteristics, energy
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passionate about building an entanglement-based quantum internet? In this PhD project, you will design an entanglement source, a routing architecture, protocols, and set up a testbed that distributes and
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distribution (QKD), where you will adapt both the codes and their decoders to the specific security and performance requirements of QKD protocols. Beyond QKD, you are encouraged to explore open problems in
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and trace elements distribute between molten steel, slag, and vapor under next-generation steelmaking conditions. The research will focus on experimentally determining equilibrium partitioning behavior
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interfaces to share intermediate data for distributed training and processing, generating large traffic flows. Low and deterministic latency will be required for specific application in data centre for AI