Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
- Computer Science
- Engineering
- Biology
- Economics
- Materials Science
- Medical Sciences
- Chemistry
- Business
- Mathematics
- Electrical Engineering
- Arts and Literature
- Linguistics
- Psychology
- Science
- Humanities
- Law
- Physics
- Education
- Philosophy
- Earth Sciences
- Social Sciences
- Sports and Recreation
- 12 more »
- « less
-
Directly Funded UK Students Dr Jon Willmott, Dr Matthew Hobbs Application Deadline: 23 June 2025 Details The fusion energy sector must develop methods of remote maintenance where human access is impossible
-
: Applications accepted all year round Details Our research aims to develop forms of computational imaging in which the optical components of conventional imaging systems are replaced or enhanced by computational
-
how this impacts therapeutic resistance to in order to develop more effective pan-tumour treatment strategies. This will involve investigating spatially-mediated molecular divergence in response
-
The Development of Models for Mercury Oxidation in Oxyfuel Combustion School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed Pourkashanian, Prof Lin Ma
-
in simulated environments and with real data on real UAVs. Defining and calculating measures for levels of trust in the developed algorithms is essential. These uncertainty-aware algorithms can self
-
Deadline: 30 June 2025 Details This project aims to develop new algorithms for reinforcement learning from human feedback, to effectively solve complex reinforcement learning tasks without a predefined
-
The development of flexible cognition in children and adults School of Psychology PhD Research Project Self Funded Dr D Carroll Application Deadline: Applications accepted all year round Details
-
Heterogeneity in the development of antisocial behaviour School of Psychology PhD Research Project Self Funded Prof Richard Rowe, Dr CB Stride Application Deadline: Applications accepted all year
-
naturally occurring electron donors or acceptors, which inhibits the chemical and biological reactions essential for natural attenuation. This interdisciplinary PhD project aims to develop a novel remediation
-
the results of which would be used to enrich the available experimental data in order to develop a Design for Manufacture and Performance concept based on machine learning algorithms where the required