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the environment and sustainability. The role is funded for 24 months in the first instance, with an expected start date of July 2024. About You You will have a PhD and track record in either computer science with
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objectives to develop a novel AI-enabled a pest surveillance system using embedded computer vision. You will be required to deliver key innovations around computer vision and artificial intelligence working
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to join an exciting translational R&D project at the intersection of AI, computer vision and Virtual Production for Film and TV. This project will leverage the latest advances in Computer Vision AI and
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computer vision and machine learning skills to apply their knowledge and experience to food process engineering, and the assessment of quality of baked products. Working with Rakusen's Limited, the project
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The role We invite applications from data scientists, computer scientists, geographers and economists specialised in machine learning and computer vision. The position would be hosted by the School
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using X-Ray images. The successful candidate will be responsible for conducting cutting-edge research in machine learning and computer vision applied to medical data. Responsibilities: Conducting research
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bold vision of what we want to achieve - shaping ourselves into one of the best universities in the world, which we are achieving through the talents and endeavour of every employee. Our culture empowers
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Location: Jubilee Campus Deep learning is changing the way we look at plants. Plants are extremely challenging subjects for computer vision, individuals may look very similar, but may exhibit large
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About us The UCL Institute for Global Health (IGH) is at the heart of UCL’s Grand Challenge of Global Health. The Institute’s vision is for a world where international policy on global health is
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, the job requires expert knowledge in computer-vision. The successful candidate will also be expected to contribute to the formulation and submission of research publications and research proposals as