Sort by
Refine Your Search
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; Anglia Ruskin University
- ; City St George’s, University of London
- ; Manchester Metropolitan University
- ; University of East Anglia
- ; University of Nottingham
- Imperial College London
- Liverpool John Moores University
- University of Cambridge
- University of Sheffield
- 2 more »
- « less
-
Field
-
international collaborations with clinicians, regulators, policymakers, and industry partners. You must have a strong background in machine learning, computer vision, and medical image analysis, with publications
-
fixed for one year in the first instance. Further extension many be possible subject to the availability of funds. You should hold a PhD degree in a computing related subject and have research and
-
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
-
Master’s degree in a relevant discipline (cognitive neuroscience, neuroscience, computational neuroscience, psychology, cognitive science, machine learning/data science/AI). Start date: 1 October 2025
-
conducts cutting edge research into discovering new materials for onboard ammonia cracking applications using computational and data approaches. Vision We are seeking PhD student that is motivated by zero
-
conducts cutting edge research into discovering new materials for onboard ammonia cracking applications using computational and data approaches. Vision We are seeking PhD student that is motivated by zero
-
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
-
in computer vision and intelligent transportation. Experience with tools such as MATLAB, Python or machine learning frameworks is highly desirable. Supervisor: Dr Ning Zhao (N.Zhao@bham.ac.uk
-
. 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
-
, and Internet-of-Things / Industry 4.0 technologies. Knowledge of computer science principles and modern AI approaches in computer vision and/or time series analysis is a plus. The position requires