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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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ultimately contributing to the development of new antiviral approaches. The project takes a cross-disciplinary approach, combining biochemical, biophysical, cell biological, and virological methods, including
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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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We are seeking a Project Administrator for the HESTIA project ( https://hestia.earth ). HESTIA is the main output of the Oxford Martin Programme on Food Sustainability. We are part of the Department
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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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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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and interpersonal skills, strong IT skills particularly in Microsoft Office, excellent attention to detail, the ability to work methodically and interpret standard procedures and sources accurately
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of the Economic Research on Identity, Narratives and Norms [ERINN] network; the Oxford Martin School Programme ‘Governing African Transitions’; the Oxford Martin School Future Shocks programme and various other
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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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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