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theoretical foundations of distributed quantum computing . Our long-term objective is to understand which distributed tasks admit a quantum advantage, especially in the context of the LOCAL model of distributed
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theoretical foundations of distributed quantum computing . Our long-term objective is to understand which distributed tasks admit a quantum advantage, especially in the context of the LOCAL model of distributed
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Entanglement distribution is a foundational capability for quantum networks, enabling diverse quantum technologies including—but not limited to—quantum key distribution (QKD). QKD provides
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European Doctoral Network funded under the Horizon Europe Marie Sklodowska-Curie Actions programme. The i3WaterS network brings together leading universities, research centres, technology developers, and
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privacy, adversarial robustness, distributed systems, or LLM fine-tuning. How to apply Applications should be submitted via the Computer Science PhD programme page. In place of a research proposal, you
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modelling of distributed systems or practical experience deploying and experimenting with security controls. As a Programme Grant there is considerable flexibility in this research agenda. This allows
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Data Science; - Software Development; - Cloud Computing; - Mobile Application Development; - Distributed Databases. You will possess excellent communication and presentation skills, being capable
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refinement of existing models. The fellow will help advance open, distributed, and trustworthy AI systems, positioning the UK at the centre of global efforts to shape the future of open AI. Ideally the fellow
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experience in, for example, machine learning, high-performance computing, reconfigurable hardware, cloud computing, compiler engineering, distributed systems, or DevOps are encouraged to apply, as
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reservoirs can provide a long-term, sustainable supply of heat and energy to serve society’s needs. The performance and operational lifespan of geothermal systems depend on the subsurface distribution of heat