Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Nottingham
- ;
- ; Swansea University
- ; The University of Edinburgh
- Harper Adams University
- University of Cambridge
- ; The University of Manchester
- ; University of Birmingham
- ; University of Nottingham
- Newcastle University
- University of Exeter
- University of Newcastle
- ; City St George’s, University of London
- ; Loughborough University
- ; University of Bristol
- ; University of Cambridge
- ; University of Oxford
- ; University of Sheffield
- ; University of Surrey
- KINGS COLLEGE LONDON
- The University of Edinburgh
- The University of Manchester
- University of Manchester
- University of Sheffield
- ; Brunel University London
- ; Coventry University Group
- ; Cranfield University
- ; Edge Hill University
- ; Imperial College London
- ; Newcastle University
- ; University of Leeds
- ; University of Southampton
- AALTO UNIVERSITY
- Abertay University
- Heriot Watt University
- Heriot-Watt University;
- Imperial College London
- Loughborough University
- Loughborough University;
- The University of Edinburgh;
- The University of Manchester;
- UNIVERSITY OF VIENNA
- University of Bristol
- University of Cambridge;
- University of London
- University of Nottingham;
- University of Oxford
- University of Sheffield;
- 39 more »
- « less
-
Field
-
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
-
work on the INSTINCT-MB programme, which brings together teams based at Newcastle University, The Institute of Cancer Research and University College London. The programme will generate a wide range of
-
This self-funded PhD research project aims to advance the emerging research topics on physics-informed machine learning techniques with the targeted application on predictive maintenance (PdM
-
and develop advanced cryogenic power electronics solutions for key net-zero applications such as all-electric aviation and wind energy. This fully-funded PhD project will provide the opportunity
-
at Cranfield which has a strong collaborative history with industry in the field of atmospheric icing science research. This programme provides the PhD candidate with an outstanding opportunity to work across a
-
on paper writing, networking and career development after the PhD. The Faculty has outstanding facilities and works in partnership with leading industrial partners.
-
(coordination) and safety constraints can be intractable. Your work will bridge this gap by providing generalizable, provable design approach that apply across a wide range of networked systems. This 3.5-year PhD
-
techniques. We are a community based on mutual support and collaboration. Through our Doctoral College there are continual opportunities for building important research skills and networking among your peers
-
may be possible, please contact Professor Kamalan Jeevaratnam once the deadline passes. You will need to meet the minimum entry requirements for our PhD programme . This is an interdisciplinary project
-
This research opportunity invites self-funded PhD candidates to develop advanced deblurring techniques for retinal images using deep learning and variational methods. Retinal images often suffer