Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- ; The University of Manchester
- Cranfield University
- ; University of Birmingham
- University of Nottingham
- ; City St George’s, University of London
- ; Swansea University
- ; University of Warwick
- ; University of Exeter
- ; University of Leeds
- ; Newcastle University
- ; University of Nottingham
- ; Aston University
- ; Cranfield University
- ; Durham University
- ; St George's, University of London
- ; UWE, Bristol
- ; University of Bradford
- ; University of Cambridge
- ; University of Greenwich
- ; University of Oxford
- ; University of Reading
- 12 more »
- « less
-
Field
-
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
-
Project Link: PhD Studentship in Artificial Intelligence in Medical Imaging and Diagnostics | Project Opportunities | PhD | University of Leeds Eligibility: UK/International Funding: School of
-
function and its role in healthy development and disease. There is no brain-imaging method that allows us to measure infant brain activity with high resolution in both spatial and temporal dimensions
-
This project aims to enhance best practices in strain quantification for biomedical applications, facilitating the transition of image-based measurement methods from laboratory research to clinical
-
PhD studentship, University of Bradford, Faculty of Health Studies Application Deadline: 16 June 2025 Project Title: Remote Working in Diagnostic Imaging: Evaluating Productivity, Support, and
-
simple identification of nuclear material even when the typical signatures of the materials may be unavailable. X-ray imaging is commonly used to image concealed objects but x-rays are attenuated in
-
materials are connected is critical for the development of next generation functional materials. However, modern atomically-resolved imaging techniques only give an integrated snapshot of the structure
-
The research in this doctoral opportunity will investigate the relationship between material elastic and thermal properties by using high resolution digital imaging under dynamic loads. Digital
-
or 3-dimensional spaces, enabling insights about the underlying structure and distribution of the data. However, due to the heavy data compression into a space with only 2 or 3 degrees of freedom
-
THR demand in younger patients expected to increase fivefold by 2030, revision surgeries will also rise. To improve implant positioning, image-guided navigation is increasingly used in complex THR