Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Nottingham
- Loughborough University;
- Newcastle University
- University of Surrey
- Cranfield University
- Royal College of Art
- University College London
- University of Exeter
- University of Plymouth
- City St George’s, University of London;
- Harper Adams University
- Imperial College London;
- King's College London
- Manchester Metropolitan University;
- Newcastle University;
- Northeastern University London
- Swansea University
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF VIENNA
- University of Birmingham
- University of Birmingham;
- University of Bradford;
- University of Cambridge
- University of East Anglia
- University of Exeter;
- University of Surrey;
- University of Sussex;
- 17 more »
- « less
-
Field
-
of colour vision loss. The experimental findings will be used to establish informed criteria for a new protocol for colour vision in Network Rail. The work is embedded within an established programme of
-
into its latest Ryzen processors, unlocking new possibilities for on-device AI acceleration. This project aims to maximise the potential of AMD’s cutting-edge hardware for healthcare computer vision
-
Environment This studentship is based at the Centre for Vision, Speech and Signal Processing (CVSSP). CVSSP is: The largest UK research centre in its field Ranked 1st in the UK for Computer Vision research
-
Project Description The next generation of signal processing, computing and artificial intelligence (AI) technologies will be unlocked by the close integration of electronics and photonics
-
). These disturbances are often intermittent and difficult to measure in clinics. Virtual Reality (VR) platforms may provide a new way of monitoring vision at home and may empower patients to provide much more accurate
-
Applications should be submitted via the Vision, Speech and Signal Processing PhD programme page. In place of a research proposal, you should upload a document stating the title of the project that you wish
-
publication governance. The work also aligns with Surrey’s GAIN programme and games provision within SAHCI, and will support standards-oriented impact through the supervisory team’s engagement with ITU-T work
-
, and travel related to the project. Overview ReNU+ is a unique and ambitious programme that will train the next-generation of doctoral carbon champions who are renowned for research excellence and
-
programme that will train the next-generation of doctoral carbon champions who are renowned for research excellence and interdisciplinary systemic thinking for Net Zero. The ReNU+ vision is that they will
-
, radiologists interpret scans such as CT, MRI, and X-ray together with textual information, including patient history, laboratory findings, and prior reports. Although recent Vision–Language Models (VLMs) can