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capabilities in reasoning, planning, and generalisation, acquired through extensive pre-training, provide the foundation for a true cognitive engine capable of managing network complexity holistically
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You are a seasoned delivery manager with proven success in infrastructure and network projects. Your strengths include risk management, governance, and stakeholder engagement, complemented by
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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
generation of wireless communication (6G) to extend network coverage, supporting diverse data-intensive applications such as immersive extended reality and autonomous systems. However, aerial 6G networks will
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spectral efficiency, 6G networks must address the leakage of critical and confidential information at an affordable cost, complexity and power consumption. Traditional cryptography methods cannot, however
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spectral efficiency, 6G networks must address the leakage of critical and confidential information at an affordable cost, complexity and power consumption. Traditional cryptography methods cannot, however
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for the process of certification by analysis (CBA). The work relates to the structural and functional performance of complex systems. Successful applicants will have responsibilities in process review and
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frequency regulation, energy scheduling, and overall smart grid system optimization. Moreover, such complex interconnections between power system dynamics, communication networks, and information
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Almost all radar systems currently transmit from the same location. A drastic departure from this sensing architecture is distributed radar – enacted by a coherent network of spatially distributed
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their applications. Using machine learning and related tools to enhance quantum memory advantages in stochastic simulation. Using advanced tensor network techniques to enhance the modelling of complex, memoryful open
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cover advanced NLP pipelines, network and complexity science, and agent-based simulation frameworks, preparing the student for cutting-edge AI and data science careers. By building an end-to-end workflow