Sort by
Refine Your Search
-
About the ProjectProject details Self-adaptive and autonomous systems are increasingly deployed in dynamic and uncertain environments, where effective decision-making relies on accurate models
-
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
-
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 be given sector-leading training and development with outstanding facilities and resources. The...
-
of these declines are missing. Genomic data can help address this gap through reconstructing changes in population size over time, while museum collections can elucidate morphological responses to historic changes
-
and morphological properties of the nanoengineered graphene. Electrochemical analysis using cyclic voltammetry (CV) and fast-scan cyclic voltammetry (FSCV) will determine sensitivity and redox behavior
-
relies on accurate models of how the system interacts with its environment. Traditionally, such world models—comprising transition and observation models—are specified by domain experts, based
-
About the ProjectProject details: Next-generation networks are rapidly outscaling the capabilities of traditional management paradigms. While early AI/ML models offered a degree of automation, they
-
of pseudorange correction models. Enforcing such constraints offers substantial potential benefits, including faster convergence, improved generalisation, and reduced overfitting. At the same time, these benefits
-
will develop and evaluate new approaches to predicting current and future population exposure to such hazards by combining numerical modelling and remote sensing of river migration, with machine learning
-
. Surface deformation during volcanic unrest has begun to be explored using models based on magma migrating and accumulating in a magma-mush reservoir, but they have limitations and have not been linked