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 Sheffield
- ;
- ; Swansea University
- ; The University of Edinburgh
- Liverpool John Moores University
- NORTHUMBRIA UNIVERSITY
- Newcastle University
- Oxford Brookes University
- Queen Mary University of London
- The University of Manchester
- UNIVERSITY OF SURREY
- University of Cambridge;
- University of East Anglia
- University of Oxford
- University of Strathclyde;
- University of Warwick
- 11 more »
- « less
-
Field
-
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
-
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
-
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
-
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
-
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
-
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 development and implementation of machine learning (ML), computer vision (CV), large language models (LLMs), and vision-language models (VLM) to automate data extraction and interpretation for productivity
-
Deadline: 30 September 2025 A fully funded 3.5 year PhD position is available to work on the project titled “Scalable benchmarking for digital quantum computers based on blind testing
-
integrating advanced vision and language transformers with an Explainable AI (XAI) layer, the project aims to create a robust system for accurate threat identification, providing actionable intelligence