Sort by
Refine Your Search
-
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
-
-of-the-art laser laboratory facilities, which are well-supported by active grants from the European Research Council, and the UK Engineering and Physical Science Research Council. You will gain expertise in
-
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
-
in decarbonising heat especially in rural, off-gas communities reliant on oil, LPG, and inefficient electric systems. While electrification remains a key pathway, limited grid capacity across
-
: 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
-
The University of Exeter’s Department of Engineering is inviting applications for a PhD studentship co-funded by the partner Hydro International and University of Exeter Faculty of Environment
-
an interest in computer science and/or computational approaches to engineering applied to this important maritime topic and will be willing to travel to partners within the UK (e.g. Newcastle and Bath
-
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
-
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
-
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