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English as a first language. Expected start date 1st October 2025. You will need to meet the minimum entry requirements for our PhD programme. The candidate should be highly motivated and can engage in
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, 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
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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
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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
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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
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Applications are invited for a PhD studentship in the Department of Computer Science at City, University of London. The successful candidate will work on developing a novel AI-powered conversational
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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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. 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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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