Sort by
Refine Your Search
-
Listed
-
Employer
- Cranfield University
- ; Swansea University
- University of Nottingham
- University of Cambridge
- ; University of Cambridge
- ; University of Exeter
- University of Bristol
- ;
- ; Brunel University London
- ; Newcastle University
- ; University of Birmingham
- ; University of Oxford
- ; University of Sheffield
- ; University of Southampton
- Harper Adams University
- Newcastle University
- Newcastle University;
- The University of Manchester
- The University of Manchester;
- University of Birmingham
- University of East Anglia
- University of Sheffield
- University of Surrey
- University of Surrey;
- 14 more »
- « less
-
Field
-
LEO, MEO, and GEO constellations), and complementary on-board sensors. Research will investigate algorithms for robust multi-sensor fusion and positioning assurance. A strong emphasis will be placed
-
fieldwork campaigns at the Norunda research station in Sweden (100 km north of Stockholm), with the opportunity for extended visits at Lund University, Sweden. Funding Comment Scholarship open to UK fee
-
interference, while ensuring energy-efficient and scalable operation. This PhD project will focus on developing machine learning algorithms to enable robust channel estimation, intelligent user association
-
modes (e.g., HCCI) for net-zero fuels like hydrogen and ammonia. A key innovative pillar is the development of an AI-driven control strategy. Machine learning algorithms, including reinforcement learning
-
new brain stimulation methods, you will contribute to developing closed-loop algorithms for regulating brain dynamics with clinical applications in epilepsy and psychiatric disorders. Number of awards
-
context. The work will include, but is not limited to: investigating new mathematical formulations of the underlying physics; developing fast algorithms and numerical methods that leverage modern parallel
-
the ranking. However, STV method becomes considerably more complex with encrypted ballots. Our goal is to develop an algorithm/protocol to count encrypted ballot using the STV method. Our first point of
-
objects, by embedding them into a 2 or 3-dimensional space through a representation learning algorithm, has been widely used for data exploratory analysis. It is particularly popular in areas such as
-
capabilities needed for truly sustainable operations. Research Question: How can AI-enhanced digital twin technologies with advanced optimisation algorithms transform manufacturing processes to achieve
-
or potential damage to the rail surface. The Research: This project aims to transform this process by developing a novel machine learning (ML) tool and utilising cutting-edge machine learning algorithms