Sort by
Refine Your Search
-
functions). Explore model-based RL approaches that integrate learned models with planning and adaptation mechanisms. Hybrid Evolutionary-RL Framework Develop novel frameworks with evolutionary algorithms
-
functions). Explore model-based RL approaches that integrate learned models with planning and adaptation mechanisms. Hybrid Evolutionary-RL Framework Develop novel frameworks with evolutionary algorithms
-
. The student will incorporate the fast-evolving understanding of magma-mush systems into numerical models simulating surface deformation from porous fluid (magma) flow, and test how predicted subsurface stress
-
PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
is to exploit transformer-based attention mechanisms to model sequential dependencies and capture long-range interactions, making them promising tools for complex spectrum management. Despite being
-
computational fluid dynamics and numerical modelling will be used to simulate performance under varying runoff scenarios, pollution loads and climate conditions. By developing advanced road gully designs with
-
Amazonian soils; and (3) how the JULES land surface model can be improved using novel field and experimental data. The doctoral researcher will shape the project, lead field experiments in southern Amazonia
-
aquaculture, ensuring robust experimental validation of behavioural biomarkers. Dr Jun Chew (Engineering) will lead on sensor design, system integration, and embedded software development. Industrial engagement
-
, where the default token-by-token prediction mechanism is slow and prone to "hallucinating" physically invalid configurations; and the prohibitive adaptation costs of fine-tuning billion-parameter models
-
relentless arms race. While viruses evolve new infection strategies, archaea evolve new antiviral defence mechanisms. However, we still lack a clear picture of this process. This project will address
-
mechanisms. The student will benefit from interdisciplinary training across three leading institutions: University of Exeter (Dr Robert Ellis) in bivalve physiology; Natural History Museum/Cefas (Dr David Bass