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and their data from theft, compromise and corruption is of crucial importance to enable us to achieve our vision. University IT provides critical support to c7,000 staff, 30,000+ students, and 38
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of Physical Sciences and Engineering, working as part of a small team to provide comprehensive administrative support for a large Postgraduate Research Programme in a fast paced, busy School. The successful
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, organising and delegating work, monitoring progress and intervening as required to ensure departmental objectives are communicated and engaged with. Project manage the development of large-scale funding
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to model and simulate building energy systems. Use of machine learning techniques to forecast cooling demand. Proven ability to analyse complex information, including large datasets, and summarise
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-focused research; Are excited to support a collaborative project, and contribute to the wider objectives of a translational research team; Have research experience handling large human genetic data with
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promotion decisions we will evaluate applicants on the quality of their research, not publication metrics or the identity of the journal in which the research is published. More information is available
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international academic experts, clinicians, charities and policymakers. In this role, you will: · Investigate the genetic epidemiology of ARFID using large scale population cohorts · Contribute to the overall
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of the Enquiry and Case Management System advising line manager and/or Communications Officer when information needs updating or removing. To issue ID cards and check legal and financial documents following