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
- Coventry University Group
- 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
-
Department: School of Computer Science Details of Studentship: Fully Funded PhD Studentships Applications are invited from Home and International students for a number of fully-funded PhD
-
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
-
Join an exciting research journey at the intersection of advanced materials, electronics, and textile engineering. This PhD project will explore smart structural design, manufacturing and
-
, 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
-
PhD programme focused solely on the safety of artificial intelligence (AI). Our vision is to train future leaders with the research expertise and skills to ensure that the benefits of AI systems
-
, National Trust, John Muir Trust and Warwickshire Wildlife Trust aims to address this. As part of the Heritage Lottery Fund’s Nature in Towns and Cities Programme (NiTC) Green4all’s vision is to transform
-
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