Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Nottingham
- Loughborough University
- 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
- Loughborough 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 East Anglia;
- University of Oxford
- University of Oxford;
- University of Strathclyde;
- University of Warwick
- 16 more »
- « less
-
Field
-
AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap
-
electronics, enabling spontaneous gaits powered by a single onboard pressure source. The project’s vision is to establish embodied oscillator intelligence, where locomotion arises from the physics of coupled
-
research frontier in computer vision that combines three critical challenges: class imbalance, recognition of rare and unseen species, and dense labelling of high-resolution imagery. The candidate will
-
of mission design, manufacturing, operations, and disposal. This PhD project aims to advance sustainable space operations by developing a holistic lifecycle assessment framework and computational tool
-
Students Project Description The NetZero Futures (NZF) Doctoral Landscape Award is a fully funded EPSRC studentship with the Royal College of Art. The strategic vision of NZF unites RCA-wide Art and Design
-
One fully funded, full-time PhD position to work with Alessandro Suglia in the Embodied, Situated, and Grounded Intelligence (ESGI) group at the School of Informatics, University of Edinburgh
-
This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at
-
collection activities. Supervision will be provided by academics from various disciplines specializing in biomechanics, image processing, and computer vision, alongside orthopaedic surgeons and academics.
-
/staff/s.grasso/), a leading expert in ceramics processing with over 300 publications and 28 patents, whose vision is to "develop better materials using less energy without critical elements" and whose
-
the University of Nottingham, contributing to cutting edge research into clean and sustainable energy technologies. Vision and Aim Ammonia is an essential component of the global strategy to achieve net-zero