Sort by
Refine Your Search
-
Listed
-
Employer
- Cranfield University
- ;
- University of Nottingham
- ; Swansea University
- ; The University of Manchester
- ; University of Birmingham
- ; University of Southampton
- ; City St George’s, University of London
- ; Cranfield University
- ; Manchester Metropolitan University
- ; Newcastle University
- ; University of Nottingham
- ; University of Surrey
- Harper Adams University
- The University of Manchester;
- University of Manchester
- University of Warwick;
- ; Brunel University London
- ; Edge Hill University
- ; The University of Edinburgh
- ; University of Oxford
- ; University of Warwick
- Abertay University
- UNIVERSITY OF VIENNA
- University of Sheffield
- ; Coventry University Group
- ; Durham University
- ; King's College London
- ; Lancaster University
- ; St George's, University of London
- ; UWE, Bristol
- ; University of Bristol
- ; University of Cambridge
- ; University of Hull
- ; University of Plymouth
- ; University of Reading
- ; University of Sheffield
- ; University of Stirling
- ; University of Strathclyde
- Coventry University Group;
- Manchester Metropolitan University
- Manchester Metropolitan University;
- Nottingham Trent University
- The University of Manchester
- University of Bristol
- University of Cambridge
- University of Greenwich;
- University of Hertfordshire;
- University of Nottingham;
- University of Warwick
- 40 more »
- « less
-
Field
-
This PhD at Cranfield University explores the development of resilient, AI-enabled electronic systems capable of detecting faults and autonomously recovering from failures in real time. The project
-
areas. Project aims and objectives This project aims to develop a novel approach to analyse the interaction between the structure of CFM and the dynamic performance of the flow. The aim will be achieved
-
management of fisheries for biodiversity and human communities. Project aims and objectives The project will develop biotechnological tools to facilitate the conservation and sustainable management of Malagasy
-
system using deep learning (DL). The project’s objectives include generating training data from synthetic datasets and real-world images (cadaver and actual intraoperative THR images), developing a marker
-
interview system for university admissions. This project aims to improve the fairness, efficiency, and objectivity of student selection by reducing bias and subjectivity inherent in traditional interviews
-
for constraining the spin of the compact object being lensed which will involve both theoretical and computational modelling. If you wish to discuss any details of the project informally, please contact: Prof
-
training, as well as research activity support grants. Due to funding stipulations set by UKRI, we are only able to recruit home applicants for this opportunity. You can find further details https
-
understanding of the current state of our space environment. As of May 2025, ESA's Space Debris Office has estimated that 1.2 million space debris objects, each between 1 mm and 1 cm, litter our orbital
-
would co-develop the research objectives and select the methods to be implemented with supervisory support. Some ideas to discuss include integrating repeat GEDI LiDAR surveys with time-series
-
process is poorly recorded and needs improvement. Aims and Objectives In collaboration with the Health Innovation Partnership, a modelling pipeline will be devised to cope with the challenges of data