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medicine, with a primary focus on optimizing clinical trial design. The partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry
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demonstrable related experience. They will possess sufficient specialist knowledge in the discipline to work within the research programme and be able to contribute ideas for new research projects and research
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out rigorous and impactful research into the computational mechanisms of human learning using deep neural network models, and disseminating the findings within the research group, across the wider
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months), and is full-time. Applicants will have, or be close to completing a PhD/DPhil in statistics, computer science, or related areas. They will have excellent communication skills, including
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social mobility and its relationship to economic inequality. The post holder will work with the INET Oxford programme on Economics, Inequality, and Opportunity. About you You have completed a doctorate in
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About the role We are seeking a Programme Manager to join the Department of Engineering Science (central Oxford). The role is being offered full-time or part-time (22.5 hours a week would be
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Department of Physiology Anatomy & Genetics (DPAG) we undertake discovery science where we reassemble physiological processes at the molecular, cellular, tissue and systems level of organisation. In so doing
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. The Engineering Science IT team (IT@Eng) are vital to the success of the department. We provide computing and network support, management of IT equipment and software, and help academic, student, and administrative users
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the Department of Engineering Science’s Student Administration Team with a strong link to the Oxford Robotics Institute’s (ORI) Administration team. You will lead and manage the set up and academic administrative
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applications. Applications are sought from across a diverse set of disciplines under the Information Engineering umbrella, including, for example, physics-informed machine learning and AI, computer vision