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, create and update relevant documentation, provide an award and record verification service to alumni and third parties, and support students, staff, and examiners with the postgraduate research examination
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will be working as part of a large team on the UK Floods and Droughts Research Infrastructure, which is a 5-year capital investment by the UK Government, enabling essential science and innovation to
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in AI and machine learning for ensuring stability in financial markets and investments. The role is based at University of Bristol, School of Engineering Mathematics and Technology, and will involve
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DXA imaging data Proficient at using Statistical Software e.g. Stata, R, Python Experienced at analysing Hospital Episode Statistic data and other forms of electronic healthcare records (e.g. OPCS3
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data center networks Build proof-of-concept hardware or software modules Run lab or field trials to validate network design over large-scale testbed experimentation We are looking for someone with a
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. The person appointed to this role will play a central role in the early evaluation of how the Pledge is being implemented. The research is funded by the NIHR Three Schools Prevention Programme and the
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university level in subjects relevant to the Engineering Mathematics teaching portfolio. You should have a good honours degree and have (or expect to have soon) a PhD in Mathematics, Computer Science, Physics
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implement lab based activities to support this. Additionally the role will support other educational provision in the Mechanical Engineering undergraduate programme within the school. The successful applicant
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The Smart Internet Lab Technician will be based in the Science and Engineering Faculty, supporting the day-to-day operations of the Smart Internet Lab. This role involves technical support for a
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Chemistry departments in the UK (1st in REF2021). You will collaborate closely with the multidisciplinary consortium of chemists, biochemists and computational chemists. You will use newly constructed