Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Exeter;
- University of Nottingham
- The University of Manchester
- Imperial College London;
- Loughborough University
- Newcastle University;
- Swansea University
- University of Birmingham
- University of Bristol
- University of East Anglia
- University of Newcastle
- University of Oxford;
- University of Surrey
- University of Warwick
- ;
- Cranfield University;
- European Magnetism Association EMA
- Newcastle University
- Oxford Brookes University
- Swansea University;
- UCL;
- UNIVERSITY OF VIENNA
- University of Birmingham;
- University of Bristol;
- University of Cambridge;
- University of Exeter
- University of Glasgow
- University of Kent;
- University of Leeds
- 20 more »
- « less
-
Field
-
actors. The developed algorithms will be validated using simulation testbeds and simple hardware-in-the-loop microgrid setups with battery storage. Overall, this research will advance the state of the art
-
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
-
summary Join an international team developing scalable algorithms to solve numerical linear algebra challenges on supercomputers. Modern high-performance computing increasingly relies on hardware
-
including: * Algorithmic game theory * Approximation algorithms * Automata and formal languages * Combinatorics and graph algorithms * Computational complexity * Logic and games * Online and dynamic
-
to maximise early outbreak detection. Active intervention: developing decision-making algorithms that recommend effective public-health interventions. Reinforcement learning (RL) provides a natural framework
-
will develop autonomous on-board guidance algorithms for space missions using open-source numerical solvers for convex optimisation developed at the University of Oxford. The focus will be on designing
-
-cases of classical supercomputers, the development of quantum CFD algorithms will be of widespread benefit upon the arrival of fault-tolerant quantum computing. This project involves the adaptation
-
will include race videos, rider power and speed data, and race commentary to codify key race events, using expert knowledge and available evidence. - Develop a post-race analysis framework, process, and
-
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
-
adaptation of the mesh during simulation to resolve and track features in the flow. The focus of your PhD would be on developing novel algorithms to efficiently redistribute and rebalance the parallel