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climate change - Computer vision, e.g., colour vision, human colour vision, colour appearance models, etc. - AI technology, e.g. statistical learning, neural network learning, deep and transfer learning
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climate change - Computer vision, e.g., colour vision, human colour vision, colour appearance models, etc. - AI technology, e.g. statistical learning, neural network learning, deep and transfer learning
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). The post is currently funded until 31 March 2026, although there may be a further extension, should additional funding become available. About you The successful candidate will: Hold a PhD in Computer
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successful candidate will: Hold a PhD in Computer Science or related topic (essential) Have proficiency in analysing large data sets (essential), including ideally: social media data (desirable) work on online
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Location: Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG About the Blavatnik School of Government Our vision is of a world better led, a world better served and a world better
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on neurodevelopment and mental health within the Children Growing up in Liverpool (C-GULL) programme. About you The successful candidate must have a PhD in molecular epidemiology (or similar), or equivalent working
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of the Department. The research activities of the department fall under eight broad headings, though there is much overlap in practice: Information Engineering (Robotics, Computer Vision and Machine Learning
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About the Blavatnik School of Government Our vision is of a world better led, a world better served and a world better governed. We are a global school committed to improving the quality
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anniversary in 2031, the University of Liverpool is proud to launch the second cohort of our prestigious Research Fellowship programme, a cornerstone of our Strategy 2031 vision. We are seeking Research Fellows
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explore and develop new types of memristors that can be switched both optically and electronically, therefore opening the route to new applications in computer vision. The position will be based in