790 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" positions at University of Oxford
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experiments. About You The key requirements are as follows: An experienced Project Manager with a degree (or equivalent qualification or proven track record) in electronics, computer science, experimental
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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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financial support and on-course awards to help students to succeed in their studies. The Student Funding Administrator will be responsible for the administration of the Crankstart Scholarship Programme
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experience in a research environment. You will have experience running trials, experience of delivering training to a variety of audiences and strong computer literacy and database experience. You will be
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to reduce inequality in high-income countries, and/or (3) the study of social mobility and its relationship to economic inequality. The post holder will work with the INET Oxford programme on Economics
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The Oxford Internet Institute – founded in 2001 - is a multidisciplinary research and teaching department of the University of Oxford, dedicated to the social science of the Internet. We have an
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globally competitive programme of research and teaching. The Kennedy Institute is a biomedical research centre uniquely bringing together discovery science and early-stage clinical research, to develop
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Contract & job type: Full-time, Fixed-term for 18 months About us: At the Department of Physiology Anatomy & Genetics (DPAG) we undertake discovery science where we reassemble physiological
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cancer and heart disease. We are seeking a Web Application Developer with an excellent computing background and various web programming skills to join the Web Development team, working closely with a wider
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sciences, AI, machine learning or related fields. Strong background and track record in the development of geospatial foundation models from multi-modal Earth Observations is essential as well as strong