Sort by
Refine Your Search
-
of the Great Western Four alliance of the University of Bath, University of Bristol, Cardiff University and the University of Exeter plus five Research Organisation partners: British Antarctic Survey, British
-
of the Great Western Four alliance of the University of Bath, University of Bristol, Cardiff University and the University of Exeter plus five Research Organisation partners: British Antarctic Survey, British
-
strong partnership between leading UK groups in 2D materials, theoretical physics and applied photonics, ensuring interdisciplinary expertise and excellent training for the researcher. Project specific
-
About the Project The future power grid will be a highly complex cyber-physical system, integrating multiple distributed energy resources (DERs) such as solar, wind, marine, and bioenergy alongside
-
-making process. Research Objectives Model Learning in Dynamic Contexts Investigate the use of reinforcement learning for constructing and updating probabilistic world models (transition and observation
-
Conventional metal mining, in which minerals are physically extracted from the subsurface and then processed to recover target metals (which often make up only a small fraction of the total mass) is
-
lack suitable hardware for data collection in the wild, but our ability to process and understand the resulting data suffers from major constraints. Here, advances in AI will be crucial, for instance by
-
chain. Currently this possibility is hindered by the lack of automated end-to-end modelling workflows for risk and sensitivity assessment. Although many steps in the process can be currently automated
-
Supervisors Professor Simon Horsley - Department of Physics and Astronomy, University of Exeter Professor Alastair Hibbins - Department of Physics and Astronomy, University of Exeter Summary
-
. University of Exeter: The Department of Physics at Exeter has extensive expertise across optical physics, photonic device development and metamaterials. The student will have access world-class research