498 image-processing-and-machine-learning-"RMIT-University" PhD positions in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- University of Nottingham
- Cranfield University
- University of Manchester
- University of Cambridge
- ; Swansea University
- ; The University of Manchester
- ; University of Birmingham
- ; University of Nottingham
- University of Sheffield
- ; University of Exeter
- ; University of Reading
- ; Cranfield University
- ; Newcastle University
- ; University of Warwick
- ; University of Southampton
- ; University of Oxford
- ; University of Surrey
- Imperial College London
- University of Newcastle
- ; City St George’s, University of London
- ; The University of Edinburgh
- ; University of Bristol
- ; University of Cambridge
- ; University of Leeds
- Harper Adams University
- University of Oxford
- ; Brunel University London
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Loughborough University
- AALTO UNIVERSITY
- ; King's College London
- ; University of East Anglia
- ; University of Sheffield
- ; University of Sussex
- Abertay University
- UNIVERSITY OF VIENNA
- ; Aston University
- ; Imperial College London
- ; Lancaster University
- ; UWE, Bristol
- ; University of Bradford
- ; University of Strathclyde
- Newcastle University
- Newcastle University;
- THE HONG KONG POLYTECHNIC UNIVERSITY
- The University of Manchester;
- University of Bristol
- University of Liverpool
- ; Coventry University Group
- ; Durham University
- ; Edge Hill University
- ; Royal Northern College of Music
- ; St George's, University of London
- ; UCL
- ; University of Greenwich
- ; University of Hertfordshire
- ; University of Huddersfield
- ; University of Plymouth
- ; University of Stirling
- Aston University
- Aston University;
- Durham University
- Heriot Watt University
- KINGS COLLEGE LONDON
- Nature Careers
- Nottingham Trent University
- Oxford Brookes University
- Swansea University
- The University of Manchester
- UCL
- UNIVERSITY OF MELBOURNE
- University of Bristol;
- University of Cambridge;
- University of Glasgow
- University of Greenwich
- University of Hertfordshire;
- University of Plymouth
- University of Warwick
- 69 more »
- « less
-
Field
-
to compensate for such aberrations, significantly enhancing image quality. Adaptive requires knowledge of the wavefront to be corrected. Our team has been developing a machine-learning approach to wavefront
-
current legislation for non-deterministic AI systems. (2) Create new compliance testing procedures and processes for agricultural AI machine learning systems. These are essential for manufacturers
-
PhD studentship, University of Bradford, Faculty of Health Studies Application Deadline: 16 June 2025 Project Title: Remote Working in Diagnostic Imaging: Evaluating Productivity, Support, and
-
Applications are invited for a PhD studentship on the project EQUATE - a project that investigates how Natural Language Processing (NLP) could be made globally more equitable. This UKRI Frontier
-
materials and energy-intensive manufacturing processes. These machines dominate current electric powertrain solutions but pose challenges in terms of resource supply chain, recyclability, and embedded carbon
-
-intensive manufacturing processes. These machines dominate current electric powertrain solutions but pose challenges in terms of resource supply chain, recyclability, and embedded carbon footprint. As future
-
powerful framework for decentralised machine learning. FL enables multiple entities to collaboratively train a global machine learning model without sharing their private data, thus enhancing privacy
-
the foundation of computer vision, monitoring, and control solutions. However, real applications of AI have typically been demonstrated under highly controlled conditions. Battery assembly processes can be
-
become the bottleneck in achieving optimal performance and trustworthiness. This project will focus on how a federated multi-task learning framework can be effectively designed and optimised to address
-
to achieve, at least a 2.1 honours degree or a master’s in a relevant science or engineering related discipline. Applicants should have strong background in Machine Learning and Deep Learning. To apply, please