Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- ; Loughborough University
- ; The University of Manchester
- University of Nottingham
- ; Swansea University
- ; University of Plymouth
- ; University of Warwick
- KINGS COLLEGE LONDON
- University of Newcastle
- ; Anglia Ruskin University
- ; Beijing Institute of Technology
- ; Manchester Metropolitan University
- ; The University of Edinburgh
- ; University of East Anglia
- ; University of Exeter
- ; University of Hull
- ; University of Leeds
- ; University of Nottingham
- ; University of Sheffield
- ; University of Surrey
- King's College London
- Swansea University
- University of Cambridge
- 14 more »
- « less
-
Field
-
Location: United Kingdom (Remote or Belfast, NI Office based) Position Overview We are seeking a Senior Machine Learning Researcher with deep expertise in computer vision and hands-on experience
-
team, you will apply cutting-edge machine learning and deep learning techniques to dramatically reduce testing cycles. You will lead life cycle analyses, implement advanced health monitoring strategies
-
developing cutting-edge computer vision and deep learning aimed at optimising inspection and monitoring of infrastructure. Applying these advanced technologies to real-world infrastructure challenges through
-
developing cutting-edge computer vision and deep learning aimed at optimising inspection and monitoring of infrastructure. Applying these advanced technologies to real-world infrastructure challenges through
-
deep reinforcement learning framework, which interactively optimises key performance indicators in the form of a human-expert informed reward function. Second, we aim for the integration of low-energy
-
-year PhD studentship. The studentship will start on 1st October 2025. Project Description As Deep Learning and Generative AI applications continue to expand, optimizing computational efficiency is
-
robots become increasingly integral in society, they must adapt to changing environments and cooperate with human partners effectively. Traditional AI systems, such as neural networks and deep learning
-
techniques, would be an advantage. The ideal candidate will have a deep interest in the algorithms that power graphics and a creative mindset, eager to think outside the box and develop novel solutions
-
and living in the UK. Academic writing experience in English is a plus. Academic Background and Technical Skills Programming experience in artificial neural networks, deep learning, large models
-
machine learning, deep learning, and network optimization to develop a scalable and secure AI framework for smart transportation. The successful candidate will work with experienced researchers, gain access