Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Loughborough University
- University of Nottingham
- Cranfield University
- The University of Edinburgh
- ;
- Royal College of Art
- University of East Anglia
- University of Exeter;
- University of Sheffield
- ; The University of Edinburgh
- Liverpool John Moores University
- NORTHUMBRIA UNIVERSITY
- Newcastle University
- Oxford Brookes University
- Queen Mary University of London
- The University of Manchester
- The University of Manchester;
- UCL;
- UNIVERSITY OF SURREY
- University of Birmingham;
- University of Cambridge;
- University of East Anglia;
- University of Oxford
- University of Oxford;
- University of Strathclyde;
- University of Warwick
- 16 more »
- « less
-
Field
-
develop AI- and deep learning–based computer vision tools to automatically identify and quantify intertidal organisms. Beyond computer vision, it will leverage machine learning for large-scale, data-driven
-
by developing AI methods that improve recognition of rare species while providing reliable measures of uncertainty. Using state-of-the-art computer vision approaches — vision transformers, self
-
learning and experience in two or more of: computer vision, sensors/sensor fusion, robotics fundamentals. • Proficient in programming languages such as Python and C++; experience with frameworks such as
-
will be expected to contribute to teaching at the Institute of Health Informatics, with the commitment being equivalent to six months teaching over the lifetime of the PhD. About the role The student
-
, visions and concerns in innovation. Entry requirements The standard minimum entry requirement is 2:1 in Geography, Sociology, Political Science, Anthropology, Design, Architecture, Engineering, Computer
-
of short-axis MR image sequences. Training You will be based at the Vision Computing Lab within the School of Computing Sciences, which specializes in deep learning for medical image analysis and neural
-
(computer vision technologies). The interdisciplinary nature of this PhD will require the integration of environmental science, engineering, and community science methodologies. Supervisors: Primary
-
the UKRI Home Fees for a Masters’ and/or PhD programme, and an annual tax-free stipend (valued at £22,780 in October 2025). As part of your award, you will be able to access additional funding to help cover
-
This PhD project focuses on advancing computer vision and edge-AI technology for real-time marine monitoring. In collaboration with CEFAS (the Centre for Environment, Fisheries, and Aquaculture
-
PhD Studentship: LLM-Based Agentic AI: Foundations, Systems & Applications – PhD (University Funded)
of next generation agentic AI systems. In this PhD programme, you will redefine how the world works, learns, and discovers, turning bold ideas into tools used by millions. You will then become one