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We are seeking an ambitious and highly motivated Research Fellow in Computer Vision to contribute to an EPSRC-funded project, LungSight, focused on visual and acoustic screening for early detection
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Are you a recent postgraduate ready to go wild and stand head and shoulders above the crowd, using advanced AI and computer vision to shape the future of animal welfare? The University of Surrey, in
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Are you a recent postgraduate ready to go wild and stand head and shoulders above the crowd, using advanced AI and computer vision to shape the future of animal welfare? The University of Surrey, in
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cutting-edge computer vision technology. Working closely with the Principal Investigator, Co-PI, and interdisciplinary research team, RE will develop and implement deep learning algorithms to analyze trap
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including the development, training, and testing of computer vision and machine learning tools for AI-automated anatomical landmark detection and segmentation of clinical images. Building upon previous work
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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of colour vision loss. The experimental findings will be used to establish informed criteria for a new protocol for colour vision in Network Rail. The work is embedded within an established programme of
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, including computer vision and machine vision. As a project engineer, you will ensure successful project delivery, delivering continuous improvements to IMG processes and build AMRC’s reputation in computer
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into its latest Ryzen processors, unlocking new possibilities for on-device AI acceleration. This project aims to maximise the potential of AMD’s cutting-edge hardware for healthcare computer vision
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Location: The Francis Crick Institute, London Short summary We are seeking a Consortium Programme Manager to support this ambitious global programme. Based in London, you will work closely with