525 computer-programmer-"St"-"University-of-St"-"St" positions at University of Oxford
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Medicine, Statistical Genetics, Bioinformatics, Computational Biology, or a related quantitative discipline. You will also demonstrate a proficiency in statistical programming using R and/or Python, with
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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 demonstrable track
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for functional validation, fostering hypothesis-driven translational research. You will develop, tailor, and implement methodologies, tools, and informatics structures for data analysis and management in
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programmes in drug development, gastroenterology, haematology, HIV, immunology, neuroimaging, neuromuscular diseases and vaccinology. This position is offered full-time (36.5 hours per week) on a fixed-term
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The Oxford Applied and Theoretical Machine Learning group at the Department of Computer Science has a new opening for a Project Support Officer, working together with Professor Yarin Gal. In
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engineering, computer science or other field relevant to the proposed area of research. You should have a good track record of robotic publications/presentations in the field of healthcare, possess sufficient
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programme outside of Russia. Applicants who started and remained at a Russian university for at least three years, but did not complete a degree course in a Russian university will also be considered
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, then moving the datasets into DigiSafe. You will also be responsible for the development of documentation in the area of data management systems and computer system validation documentation. You must be
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About the Role The Department of Computer Science, University of Oxford, is seeking an Internal Communications Officer. Reporting to Interim Strategic Communications Manager, the Internal
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targets. You will join the Computational Rare Disease Genomics Team, who collectively use computational genomics to understand mechanisms underlying rare human disease to enhance diagnosis and treatment. We