Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Manchester
- University of Nottingham
- University of Cambridge
- ; Swansea University
- ; The University of Manchester
- ; University of Birmingham
- ; University of Reading
- ; University of Southampton
- ; University of Nottingham
- UNIVERSITY OF VIENNA
- University of Newcastle
- ; Manchester Metropolitan University
- Harper Adams University
- University of Oxford
- ; Cranfield University
- ; Edge Hill University
- ; University of Bradford
- ; University of Exeter
- ; Aston University
- ; City St George’s, University of London
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Loughborough University
- ; Newcastle University
- ; The University of Edinburgh
- ; University of Bristol
- ; University of Cambridge
- ; University of Leeds
- ; University of Plymouth
- ; University of Surrey
- ; University of Sussex
- Abertay University
- Heriot Watt University
- University of Sheffield
- ; Durham University
- ; Imperial College London
- ; King's College London
- ; The Open University
- ; University of East London
- ; University of Hertfordshire
- ; University of Kent
- ; University of Oxford
- ; University of Sheffield
- ; University of Warwick
- AALTO UNIVERSITY
- Durham University
- Imperial College London
- KINGS COLLEGE LONDON
- UNIVERSITY OF EAST LONDON
- UNIVERSITY OF SURREY
- University of East London
- 42 more »
- « less
-
Field
-
for downstream tasks. In this project, you will develop novel unsupervised machine learning methods to analyse cardiovascular images, primarily focusing on MRI. In your research you will train models to learn a
-
factors need to be considered when analysing the state of obsolescence for a system. Proposed project This project proposes to develop an obsolescence modelling framework for asset management of railway
-
This PhD project will develop next-generation grid-scale energy storage solutions integrated into HVDC (High Voltage Direct Current) systems at the University of Edinburgh, in partnership with UK
-
, in situ mimicking of tissue forces, allowing us to map tissue and cell responses to mechanical inputs. This role provides an opportunity to contribute and integrate in ongoing projects as
-
induction programme will be delivered to all new appointees. Key Duties and Responsibilities Conduct and manage research and related administrative activities, with guidance as required, ensuring that project
-
The funding provider: Health Data Research UK Subject areas: Wider Data Science Field, Maths and Computer Science Project start dates: 1st October 2025 ** (Please see the note below regarding
-
three overlapping phases, the project asks how taxonomies of practice, or scores, can be developed through engagement with a material archive (video and photographic documentation, digitised director
-
of marginalised communities through documents, interviews, and focus groups to understand their views on health data governance. Additionally, you will also be responsible for managing some organisational elements
-
providing a structured, semantic framework that enhances knowledge sharing and data reuse across different platforms and systems. Project Aim This PhD will develop an ontology-based methodology to improve
-
in device behaviour will be explored to minimize false positives Scalability and Real-world Deployment: This research project will address the scalability of the proposed detection system to handle a