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, durability, and environmental sustainability, while addressing cost constraints and net zero objectives. It will include an in-depth review of shortcomings in current design, based on literature review and
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expand current technology to include automated live analysis, integrating machine learning algorithms capable of interpreting the complex behavioural patterns of mussels in response to environmental stress
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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
resources. To fill this gap, this proposal aims to design novel distributed and lightweight LLMs for spectrum management in aerial 6G networks. Specifically, the project will design wireless-aware data
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Project details Objective: This project aims to develop a wireless, nanoengineered graphene-based biosensor for real-time dopamine (DA) detection. The wireless design of the sensor aims to enable
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are fundamentally limited by a "one model for one task" design philosophy. This approach incurs prohibitive engineering costs and yields brittle solutions with poor generalisation to new network conditions, trapping
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how best to balance competing objectives. We will also investigate architectural design strategies that implicitly encourage constraint adherence, such as averaging features across satellites. In
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and strain may relate to patterns of volcanic earthquakes. Models will be applied to case-study volcanoes co-selected with the PhD student and collaborators at local volcano observatories during
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of candidate FPV deployment sites identified in Task 1.1. Year 2: FPV design for hydrogen-focused generation Task 2.1: Optimised FPV designs will vary tilt, spacing, albedo, and module type, incorporating
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insights into patterns of vocal communication and responses to anthropogenic disturbance, but are typically too heavy and bulky for most species, and have very limited battery life. Moreover, not only do we
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), patent applications and commercialisation (e.g. UoE spinout, MitoRx Therapeutics ). Here, you will design, synthesise and characterise novel potential drug structures to target intracellular structures