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algorithms for entanglement distribution in quantum networks. The purpose of the role is to contribute to the project "Utility Optimization in Quantum Networks: Algorithm Design and Analysis", working with Dr
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on the design and performance analysis of resource allocation algorithms for entanglement distribution in quantum networks. The purpose of the role is to contribute to the project "Utility Optimization
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for ensuring our research systems are configured in the most optimal and user-friendly way and that any associated training and communications will be delivered in a clear, concise and timely manner. You verify
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optimizing these codes for efficient execution on supercomputing facilities. There will be opportunities for training and professional development, both within Durham and in collaboration with other DiRAC
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optimizing these codes for efficient execution on supercomputing facilities. There will be opportunities for training and professional development, both within Durham and in collaboration with other DiRAC