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are particularly interested in candidates with experience in: vision language models, Earth system forecasting, spatio-temporal modelling, and deep generative modelling, such as diffusion and flow-matching
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initiatives. A PhD in Sociology (or related). Experience of providing teaching in Sociology, to both small and large groups across undergraduate and postgraduate units. Proven ability to teach in the following
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that you reference the application criteria in the application statement when you apply. Essential criteria A PhD in Sociology, Media, Cultural Studies, or other social science fields encompassing digital
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to, the following fields: DATA SCIENCE FOR HEALTHCARE DATA SCIENCE FOR DIGITAL COLLECTIONS DATA SCIENCE FOR CREATIVE INDUSTRIES COMPUTER VISION FOR ENVIRONMENTAL MONITORING AI FOR WEATHER FORCASTING AI FOR EARTH
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of the subject group. You must have a PhD in a Management or a Management-relevant subject. Your previous experience, and future contribution at Newcastle, may include teaching undergraduate, postgraduate and / or
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This is a Research Assistant / Research Associate position within a 4-year long project. This position involves the development of novel Computer Vision algorithms for embedding computer vision
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multidisciplinary, international team to deliver high-quality research in line with the aims of the Global Health and Ageing Research programme, based at Bristol Medical School. · Providing clinical research
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soon) a PhD in Mathematics, Computer Science, Physics, Engineering or a closely related discipline. You should have good spoken and written English, a commitment to making Equality, Diversity and
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or military collaborators. You are expected to have strong mathematical and programming skills, knowledge of computer vision and data mining tools, and be able to work on group software projects using modern
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Government policies and to inform innovation for industry leading to increased economic growth. Our main source of funding is from the Scottish Government funded Strategic Research Programme (SRP) which we