584 parallel-computing-numerical-methods positions at University of Oxford in United Kingdom
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the international Project CETI. The successful candidate will be located in the Department of Computer Science. Reporting to Professor Michael Bronstein, the post holder will be responsible for conducting novel
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programme which aims to significantly improve the user experience and efficiency of the research management lifecycle from proposal development to project closure., reimagining ways of working and adopting
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Mobility Reading Group led by Nobuko Yoshida. The successful candidate will be located in the Department of Computer Science Reporting to Professor Nobuko Yoshida, the post holder will be responsible
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Machine Learning, Statistics, Computer Science or closely related discipline. They will demonstrate an ability to publish, including the ability to produce high-quality academic writing. They will have the
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computer programs such as Outlook, Word and Excel and be able to understand and pass on clear and accurate information. You will have an understanding of issues around confidentiality and excellent attention
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stakeholders to understand their needs and requirements in relation to project work, restrictions and procedures etc. • Experience of working within the historic environment and traditional methods
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management in a cutting-edge university department. This position is also split between the Department of Computer Science at 40% and the Department of Materials at 60%, which are two departments with very
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reconciliation, enhancement, and integration of the MLGB dataset, working with legacy print, manuscript, and digital sources. You will apply and adapt digital methods (especially TEI XML), analyse provenance data
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equipment and is aware and knowledgeable of the Health and Safety requirements involved in scientific research. Educated to A Level standard or equivalent, you should be computer literate, organised, able
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute