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challenges, from reducing our carbon emissions to developing vaccines during a pandemic. We have an exciting opportunity to join the Digital Transformation team as a Programme Manager working on a flexible
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multi-disciplinary team of biological, computational and mathematical researchers by curating and processing raw ‘omic and spatial biology data and performing hypothesis led and hypothesis generating
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and will be the senior lead in terms of orchestrating delivery of all work within the Portfolio. The Administration Portfolio currently comprises a collection of major technology projects and programme
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Computational Statistics and Machine Learning (OxCSML) group, which is a vibrant research group working at the cutting edge of Statistical Machine Learning. OxCSML is part of the Department of Statistics, as
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computer code as required. You will devise novel approaches for data analysis, develop informatics structures to manage large datasets, and contribute to code and data sharing and deposition via appropriate
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About the role The Bodleian Libraries has ambitions to significantly increase its commitment to archiving web-based content, including social media data, algorithms, and other important resources which impact how these materials are generated and experienced. As part of this strategic...
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Grade 5: £28,759 - £33,966 per annum Permanent, full time We are seeking a Programme Teaching Materials Administrator to coordinate the delivery of digital teaching materials for a portfolio of
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new ways of working by identifying, embedding, and sustaining changes to business processes, job roles, organisational structures, systems, and technology. What We Offer We genuinely care about our
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. It is essential that you are educated to GCSE standard or equivalent, with evidence of numerical ability. You will be computer literate with experience of utilising MS Office, in particular Microsoft
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computer based and online applications. You will have proven experience in producing effective web content. Having experience of communicating science to a wide range of audiences is desirable. Applications