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. Excellent interpersonal skills are needed to establish credibility and influence change amongst those you support, and ensure key messages are delivered clearly and succinctly. An ability to develop strong
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, professional and expertly organised. You will be responsible for managing all aspects of event delivery and promotion - including budgeting, logistics, communications and reporting - and will help to develop our
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employee life cycle — from attracting and onboarding new talent to advising staff and managers, supporting development, managing change, and contributing to strategic HR projects. You will also have the
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annual leave entitlement, an excellent contributory pension scheme, discounted travel, and development support, as well as family-friendly policies. At the University of Oxford, we are committed
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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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engineering, materials science, spectroscopy or fluorescent systems. Candidates with prior experience in the design, development and engineering of luminescent sensors and pressure sensitive paints are strongly
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. For candidates interested in research beyond the current post, there may be opportunities available to develop a programme towards a higher degree (PhD) in an associated topic. You will be working in a growing
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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