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pipework layouts and trace heating systems; communication and management of external contractors, development of an advanced test section and instrumentation for the test facility. You will work closely with
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it relates to the laser process parameters. Specifically, you will carry out high resolution Raman imaging on laser written polymer networks with liquid crystal resins. Additionally, you will develop
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to develop your skills and apply your experience across a broad range of technical activities supporting fundamental scientific testing for high-speed aerospace vehicle applications. From engineering design to
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responsible for providing essential guidance to the HAF, and Head of School (HoS), and HR Officers on HR-related matters including: development and implementation of School HR policy and procedures, employment
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of database specification documents (case report forms) that have been developed by the wider trial team, the primary role of the post holder is to use these to create data collection systems for trials
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for someone with the vision and ambition to help lead the next phase of Agile’s development. For an informal discussion about the role, please contact Prof Seddon: nathalie.seddon@biology.ox.ac.uk The Oxford
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to the decision-making process, ensuring everyone feels valued and respected. With opportunities for professional development and a range of staff benefits, this is your chance to make a significant impact on
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scheme, discounted travel, and development support, as well as family-friendly policies. At the University of Oxford, we are committed to equality and diversity, to make the University an inclusive
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preparation of biological samples, collection and entry of trial data in compliance with ICH GCP. You will develop specialist skills and knowledge relating to the conduct of specified clinical trial protocols
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. The project will define new near miss and severe morbidity definitions allowing us to identify electronically when significant events happen. We will then develop a large multi-centre maternity routine dataset