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PhD Studentship: Open Radio Access Network (ORAN) for Distributed Edge Computing Orchestration in 6G
Magazine, 2024. "Traffic Prediction with Shared Causal Inference in ORAN Computing Continuum," IEEE Global Communications Conference (Globecom), 2024. "Cascade Network Stability of Synchronized Traffic Load
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Magazine, 2024. "Traffic Prediction with Shared Causal Inference in ORAN Computing Continuum," IEEE Global Communications Conference (Globecom), 2024. "Cascade Network Stability of Synchronized Traffic Load
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University of the West of Scotland (UWS) is seeking to attract a PhD candidate of outstanding ability and commitment to join its vibrant and growing programme of internationally excellent research
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This PhD project is designed for a highly motivated and innovative early career researcher to build strong skills in experimental and theoretical photonics and quantum optics. The goal is to develop
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MyNottingham stating Dr Rachel Nicks and Stephen Coombes as supervisors and “White Matter Computation: Utilising axonal delays to sculpt network attractors” as the project title. Proposed PhD Start Date: 1st
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experience with network and security tools are highly welcome. How to apply Applications should be submitted via the Computer Science PhD programme page, by clicking the 'Apply' button, above. In place of a
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Primary Supervisor – Dr Nicola Hancock This PhD programme is built around James Lind Alliance (JLA) and UK National Stroke Programme priorities for rehabilitation after stroke. Specifically, it
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with lead experts and expert practitioners in the research network. Funding notes: Our funded PhD studentship will cover the cost of your PhD tuition fees as a home student, including a yearly stipend of
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One fully funded, full-time PhD position to work with Prof. Mahesh Marina in the Networked Systems Research Group at the School of Informatics, University of Edinburgh. The broad aim
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Applications are sought for a fully-funded 42 month PhD studentship to work with Dr Rachel Nicks and Prof Stephen Coombes on the project: White Matter Computation: Utilising axonal delays to sculpt