49 machine-learning "The University of Edinburgh" Postdoctoral positions at University of Oxford in United Kingdom
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We invite applications for the position of Postdoctoral Research Associate in Machine Learning/Machine Learning Scientist to join the Deep Medicine programme at the Nuffield Department of Women’s
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We are seeking a full-time Postdoctoral Research Assistant in Machine Learning to join Torr Vision Group at the Department of Engineering Science (central Oxford). The post is funded by Microsoft
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development and deployment of efficient and safe learning approaches for collaborative multi-agent reinforcement learning tasks. You should have a PhD/DPhil (or be near completion) in machine learning or a
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Council and is fixed-term for one year from a start date in summer or autumn 2024. PNPL is looking for a highly skilled and enthusiastic Postdoctoral Researcher in Large-Scale Machine Learning for Brain
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relevant PhD/DPhil (or near completion*) in Computer Vision or Machine Learning. You should have a strong publication record at the principal international computer vision and machine learning conferences
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and educational contributors to early mathematical learning for neurodivergent children. Our focus will be three groups of children with genetic conditions diagnosed early in life (Down’s syndrome
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We are looking to appoint a research scientist to carry out research in machine learning and artificial intelligence to develop interpretable clinical decision support tools and novel methodologies
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imaging brain function that uses the new technology of Optically Pumped Magnetometers (OPMs). You will primarily help develop and apply new machine learning methods for analysing data from the OPM-MEG
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to 2 years in the first instance. You will be responsible for the design and testing of machine-learning based algorithms for HAIC. You will work with clinical domain experts to develop tools and
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We are seeking to appoint a Research Associate in AI with a specialism in Deep Learning. The Research Associate will engage in internationally leading research in the development of AI and machine