Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Exeter
- University of Exeter;
- Cranfield University
- Loughborough University
- ;
- Newcastle University
- The University of Edinburgh;
- The University of Manchester
- University of Birmingham
- University of Birmingham;
- University of East Anglia
- University of East Anglia;
- University of Nottingham
- University of Sheffield
- AALTO UNIVERSITY
- Bangor University
- Oxford Brookes University
- University of Cambridge
- University of Cambridge;
- University of Essex
- University of Greenwich
- University of Leeds;
- University of Oxford;
- University of Sussex
- University of Warwick
- 15 more »
- « less
-
Field
-
One fully funded, full-time PhD position to work with Prof. Mahesh Marina in the Networked Systems Research Group at the School of Informatics, University of Edinburgh. The broad aim
-
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
-
for the prevention of IAI. The person taking on the project will need to work closely with the clinical teams and the patients and to do laboratory and computer-based work. A clinical qualification is not a
-
observations and modelling of the physics and biogeochemistry of Antarctic shelf seas. You will gain experience in computer coding, statistics for environmental science, working with and piloting autonomous
-
This PhD project is at the intersection of electromagnetism, numerical methods, and high-performance parallel computing, with application towards the design and optimisation of integrated circuits
-
’. Warwick University is renowned for its high-quality research and a thriving PhD program. This strong research culture enhances both the PhD student’s experience and the demand for our graduates. This PhD
-
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
-
relevance. A digital twin framework for safe, simulation-based validation before deployment in operational wind farms. Develop explainable AI (XAI) frameworks and human-computer interfaces that enable wind
-
in human-computer interaction and have a strong collaboration with other research groups in Aalto and the EU. You would also be able to travel for visits or exchanges with other world-class research
-
. The integration of AI into hardware not only enhances performance but also reduces energy consumption, addressing the growing demand for sustainable and efficient computing solutions. This PhD project delves