176 computer-science-intern "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" Postdoctoral positions at University of Oxford
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We are seeking two full-time Postdoctoral Research Assistants in Machine Learning to join the Foerster Lab for AI Research group at the Department of Engineering Science (central Oxford). The post
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/DPhil in robotics, computer science, machine learning, informatics, AI, or a closely related field. You will have an excellent academic track record in topics relevant to locomotion and manipulation; path
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and teaching. The Ethox Centre’s global health bioethics research is undertaken in collaboration with a wide range of international partners through the Global Health Bioethics Network, the Oxford-Johns
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. The successful candidate will have completed, or be close to completing, a PhD/DPhil in a relevant quantitative field such as computational social science, computer science, or cognitive science. They will have a
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The University of Oxford is a stimulating work environment which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global
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department in its field, running a globally competitive programme of research and teaching. The Kennedy Institute is a biomedical research centre uniquely bringing together discovery science and early-stage
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academics. The ideal candidate for this role will have a background in qualitative social science research, such as literature reviews, surveys, interviews, thematic analyses, researching and writing up case
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, Engineering, or a closely related discipline. You will be a materials or physical scientist with a strong track record in applying deep learning to computer vision problems, ideally within battery
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, computer science, statistical or population genetics, or a related discipline), and a strong motivation to work on problems in genetics and you will also have relevant coding experience with producing high-quality
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We are offering 3 opportunities for Postdoctoral Researchers to join a new Oxford–AbbVie Immunology collaborative programme at the interface of academia and industry. These posts provide