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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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Training Programme, those based within the Faculty of Engineering have access to bespoke courses developed for Engineering PGRs. including sessions on paper writing, networking and career development after
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This PhD studentship is a part of Rolls-Royce sponsored research centre developing advanced control systems to enhance the performance and efficiency of new aerospace propulsion systems. We apply a
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the solution of governing PDEs. - Train machine learning models to predict lifetime and failure based on loading and environmental histories. The PhD student will have access to world-class computing facilities
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provider: EPSRC DTP 25/26 Fully Funded Studentship Subject area: Algae biotechnology/computational biology/microbial community networks/ecological theory/evolutionary mechanisms/biomass productivity
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Deadline: 24.08.2025 Number of positions: 1 For UK students only This 3.5 year PhD project is fully funded for home students only. The successful candidate will receive a tax-free stipend set at
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NPL, the UK’s national metrology institute, is developing a fully functioning, thoroughly characterised, local area quantum network (QLAN) linking heterogeneous nodes across its site. It will make
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Project Overview The University of Sheffield, funded by the EPSRC and in collaboration with Shell, is offering a fully funded 4-year PhD studentship through the EPSRC Industrial Doctorate Landscape
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providing a structured, semantic framework that enhances knowledge sharing and data reuse across different platforms and systems. Project Aim This PhD will develop an ontology-based methodology to improve