Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- University of Nottingham
- ; University of Nottingham
- ; University of Surrey
- Cranfield University
- University of Sheffield
- ; Newcastle University
- ; Swansea University
- ; The University of Manchester
- ; Anglia Ruskin University
- ; City St George’s, University of London
- ; Cranfield University
- ; Manchester Metropolitan University
- ; UCL
- ; University of Cambridge
- ; University of East Anglia
- ; University of Exeter
- ; University of Leeds
- ; University of Southampton
- Sheffield Hallam University
- Swansea University
- University of Cambridge
- 12 more »
- « less
-
Field
-
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
-
collaboration with good oral and written communication skills. Previous research experience in machine learning, deep learning and/or computer vision is essential.
-
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
-
, the intricacy of medical reports. While vision language models VLMs (LLaVA-med) have made progress in addressing these challenges, the high resource requirements highlight a pressing need to develop techniques
-
used in producing fine chemicals, including pharmaceuticals. By leveraging state-of-the-art advances in computer vision and machine learning, we aim to manipulate Particle Size and Shape Distribution
-
Nottingham BBSRC DTP CASE Project Project Title: Deciphering Oral Movements in Health and Disease using MRI Imaging and Computer Vision Research Cluster: (Bioscience for Human Health) School: School
-
Discover your career The world of the University of Nottingham is defined by our people and the values we share. Our environment is an ambitious vision brought to life across vibrant and forward
-
. Candidates must have a strong motivation for research and excellent programming skills. Expertise of developing computer vision and machine learning algorithms would be desirable, with an interest in image
-
to applicants with published research or exceptional academic performance. Experience in computer vision or audio processing is desirable and will be considered an advantage. A doctoral candidate is expected