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value. Yet these trade-offs remain poorly quantified in complex urban landscapes. This PhD will investigate how urban blue networks can be optimised for both ecological resilience and community wellbeing
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This PhD studentship covers fees and stipend for a home (UK) student to investigate how urban blue networks can be optimised to enhance ecological resilience and community wellbeing. The project
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Will you advance the state-of-art in 6G communication networks? Optical wireless links using highly directional steerable laser beams can securely serve a high density of devices at high data rates
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communication networks? Optical wireless links using highly directional steerable laser beams can securely serve a high density of devices at high data rates. Your project optimizes energy efficiency and develops
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backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services
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space that the LLM can natively process. Second, a task-specific networking head will replace the LLM’s default language modelling head. This module will map the LLM's output features directly to a
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students will be asked to take part in additional TechExpert activities for up to 10 days each year including outreach to promote tech careers, networking with the TechFirst community and engagement with
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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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communication. Join us and apply for one of the two available PhD positions below! Quantum Network Systems The goal of this position is to optimize the design of our quantum network operating system
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Inria, the French national research institute for the digital sciences | Toulouse, Midi Pyrenees | France | 8 days ago
programming skills in Python or C/C++. The candidate should also be familiar with the domain of computational fluid mechanics. Experience in meshing methods is appreciated but not required. Good communication