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operations for a period of at least two years while our existing Head of Estates moves to a new role overseeing the capital programme. The Estates team includes our in-house Security, Maintenance and Events
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Science (RICHeS) programme, carrying out supporting work that helps lead to the publishing of high-quality research. To pursue excellence in research and to inspire others to do the same. This post is full
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, alongside a dedicated incubator programme supporting students to develop creative IP and promote their work externally. The School is also home to ISEA International, a global non-profit organisation
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the Integrated Work Study Programme (IWSP). Professional Officers could also lead or work with faculty on industry innovation projects to provide solutions to the industry. In addition to their role in
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of staff, managing operational resources, and ensuring full compliance with health and safety requirements. Your main duties and responsibilities will include; Day to day responsibility for the safe
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: Theoretical approaches to information Issues of post-modernism, relativism, and information processing in both computational and post-computational frameworks. Staff: Tim Duguid , Yunhyong Kim Management
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an acceptable standard and is cost-effective whilst complying with relevant Health & Safety Regulations, Estates procedures and manufacturers’ guidelines. Candidates should have an HNC (or equivalent) in
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. Monitor database performance and troubleshoot issues under senior DBA guidance. Support data security measures, including user access control and encryption. Help maintain database documentation, schemas
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approved Secure English Language Tests (SELT) but we do not require a specific UKVI SELT for degree level programmes. We therefore still accept any of the English tests listed for admission to this programme
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap