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develop throughput-optimal entanglement distribution algorithms (both centralized and decentralized algorithms) for quantum networks with resource constraints. The project is funded by the EPSRC AI hub
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Are you interested in developing machine learning algorithms that provably help us make better decisions? Join us as a post-doc in the Division of Data Science and AI, Department of Computer Science
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The opportunity The University of Liverpool is a key partner in a £14 million initiative (https://tinyurl.com/yc5z768m ) to develop a sustainable, next-generation manufacturing facility, using
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. Development of real-time optimization algorithms and model predictive control (MPC) strategies for adaptive process management. Addressing data sparsity and data quality issues in industrial process data
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. This involves the development of mathematical models for signal transmission/reception, derivation of performance limits, algorithmic-level system design and performance evaluation via computer simulations and/or
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on https://diariodarepublica.pt/dr/detalhe/regulamento/950-2019-127238533 Workplace: The work will developed at IDMEC - Institute of Mechanical Engineering, being both the Host and Contracting Entity, and
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:00 AM UnitedKingdomTime, listed until 2026/08/01 04:59 AM UnitedKingdomTime) Position Description: Apply Position Description WORK PERFORMING: The postdoctoral researcher will develop scalable design
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Computer Science at Queen Mary University of London, working with Professor Rachel Humphris and Dr Dimitrios Kollias. The successful applicant will undertake computational research, including algorithmic
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hundreds to thousands of years. Models will be used to reconstruct land-cover change in the surrounding of pilot sites, to reproduce the evolution of soil erosion, sediment, and carbon transfers in those
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-based decision-support platforms for real-world transportation agencies. The Postdoctoral Associate will join a multidisciplinary team of faculty, researchers, software developers, and agency partners