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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
-latency, and scalable operation in aerial 6G networks. In this regard, Large Language Models (LLMs) have recently emerged as a key technology to achieve adaptive 6G spectrum management. The core idea of LLM
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: Advancements in biosensor technology are at the forefront of modern biomedical research, addressing the growing need for precise, real-time monitoring of biomolecules and overcoming critical challenges in
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behaviour in a practical, real-time monitoring system requires advances in both sensor engineering and behavioural data interpretation. This PhD project aims to develop a next generation environmental
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this knowledge gap using a scale-spanning strategy, investigating viral and archaeal counter-adaptations in environmentally sourced cultures. Embedded in an interdisciplinary supervisory structure; Daum (archaeal
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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
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The University of Exeter has a number of fully funded EPSRC (Engineering and Physical Sciences Research Council ) Doctoral Landscape Award (EPSRC DLA) studentships for 2026/27 entry. Students will
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addition, data augmentation methods to improve generalisation will be explored, for example through structured transformations such as permuting satellite IDs to enforce homogeneity. The project may also
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the two primary supervisors’ expertise in behavioural field biology with engineering and data science approaches to develop and test tools for behavioural research and ecological monitoring. The Cornish
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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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Topography. Examples of post-storm relevant spaceborne missions include, BIOMASS L-band Synthetic Aperture Radar (SAR), NISAR SAR, and GEDI LiDAR, that can capture structural information about the forests