557 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "https:" "https:" "UNIV" positions at University of Oxford
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the University’s Equality Policy and Equality, Diversity and Inclusion Strategic Plan, our commitment to equality and diversity goes hand in hand with our commitment to academic freedom and free speech.
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world leader in child health research and hosts internationally renowned research programmes in drug development, gastroenterology, haematology, HIV, immunology, neuroimaging, neuromuscular diseases and
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on combining theoretical and computational approaches (including data-driven mathematical models, tools for identifiability analysis and uncertainty quantification) to understand fundamental aspects
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of the Department. The research activities of the department fall under eight broad headings, though there is much overlap in practice: Information Engineering (Robotics, Computer Vision and Machine Learning
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, computational neuroscience, biomedical engineering, or a closely related quantitative STEM discipline. A strong background in cognitive, behavioural, and/or systems neuroscience, with relevance to learning
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completion) a PhD/DPhil in virology, biochemistry, molecular biology or relevant topic. You will have demonstrable experience of molecular virology, viral hepatitis as well as experience with computational
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Oxford Population Health (Nuffield Department of Population Health) contains world-renowned population health research groups and provides an excellent environment for multi-disciplinary research and teaching. The Clinical Trial Service Unit (CTSU) is a major international research institute...
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-linear systems of ordinary differential equations and the proficient use statistical programming languages (R, Julia or Python), Bash computing and the development of computational packages are essential
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degree in economics, finance, public policy, or other degree with a quantitative focus and possess sufficient specialist knowledge in economics to work within established research programmes. Demonstrated
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computational datasets such as single cell transcriptomics, and be able to work both independently and collaboratively in a multidisciplinary environment. A clear track record of scientific productivity