Sort by
Refine Your Search
-
Category
-
Field
-
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
-
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
-
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
-
wind turbines are pivotal in driving the global transition to renewable energy; however, maintaining these critical assets poses substantial challenges. Advances in computer vision and deep learning
-
on real-world surveillance and safety applications using data from Plymouth Community Homes Digital Living Lab. Ideal candidate Strong background in deep learning, computer vision, and artificial
-
-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
-
encompassing a large range of environmental conditions. These datasets will serve as the training input for the predictive tool, employing advanced machine learning techniques. The integration of this predictive
-
expertise in MRI, biomaterial characterization, computer vision, and machine learning with applications in biology, food science, and oral health. The research leverages cutting-edge resources from
-
engineering, embedded systems design, 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
-
an EPSRC-funded New Investigator Award expected to advance the state-of-the-art machine learning and remote sensing research with a focus on explainable artificial intelligence and computer vision. This