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the central challenge hindering this vision: the fundamental incompatibility between text-native LLMs and the operational reality of computer networks. Directly applying LLMs is impeded by three core technical
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blank Select ‘PhD in Process Industries; Net Zero (PINZ)' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: A ‘Personal Statement’ (this
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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
such a promising technology, the centralised and resource-intensive nature of current LLMs conflicts with the constraints of aerial 6G networks in terms of limited computation, energy, and communication
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Start Date: Between 1 August 2026 and 1 July 2027 Introduction: This PhD is aligned with an exciting new multi-centre research programme on parallel mesh generation for advancing cutting-edge high
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Researcher. The PhD researcher will gain expertise in implementing RL and Evolutionary Optimisation to a real-world usecase on dynamic crowd and network management provided by the industrial partner INOCESS
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costs [1]-[5]. Building on these previous findings, this PhD project will design a new MARL architecture that incorporates model uncertainty, cyber-attack scenarios, and network reconfiguration events
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Researcher. The PhD researcher will gain expertise in implementing RL and Evolutionary Optimisation to a real-world usecase on dynamic crowd and network management provided by the industrial partner INOCESS
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. Starting in April 2026. Later start dates may be possible, please contact Dr Donya Hajializadeh once the deadline passes. You will need to meet the minimum entry requirements for our PhD programme. We
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benefits toward a net-zero future. Project specific entry requirements: The PhD should have background in Materials, Chemistry, Engineering etc. Potential PhD programme of study: PhD in Renewable Energy
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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