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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
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. With a deep respect for tradition and a bold vision for the future, we continue to shape the world through knowledge, innovation, and a relentless pursuit of excellence. The Role The Andrew and Virginia
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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
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homeostasis in the brain with a particular focus on oxygen regulation. Since neuronal computation is tightly coupled with oxygen availability, Isabel is interested in how metabolic mechanisms fail as people age
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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
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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
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, 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
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. 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
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PhD Studentship: Secure By Design Datasets – Distillation and Privatisation for Future Collaboration
and Signal Processing at the University of Surrey. This is the largest such UK institute and is ranked 1st for Computer vision research in the UK and 3rd in Europe (csrankings.org). The supervisory team
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to undertake a PhD, specific motivation to undertake a PhD as part of the Somabotics programme in, and a personal PhD proposal that responds to the vision of the programme and the four example PhD topics below