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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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match the requirements of the role To be successful you will hold a PhD* degree (either awarded or nearing completion) or equivalent qualifications and experience in related fields. For an informal