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professionals across the University. You will play a key part in coordinating a programme of career professional development (CPD), liaising with training providers, and managing communications with delegates
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% of the role), the AfOx visiting fellowship programme and the AfOx catalyst grants programme. You will be responsible for managing the AfOx research projects through the application, awarding, delivery and
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associated computing code for modelling avian influenza outbreaks in Great Britain (GB). One position will focus on modelling the risk of virus invasions into GB in different locations and at different times
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—including RFS, Electronic Lab Notebooks, and DigiSafe—and plays an important role in several digital transformation initiatives within the University's research programme. About You To succeed in this varied
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. Keith Channon – a 5 year renewable award that underpins the work of the group. You will lead a programme of research in the molecular mechanisms of cardiovascular disease, that may include a range of
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ideal candidate will hold a degree in computer science, biomedical sciences, statistics, or a related field or possess equivalent experience in clinical trial data management. Substantial experience in
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the delivery of the departmental masters programme. The successful applicant will have a relevant PhD or DPhil with post-qualification teaching and research experience, sufficient depth and breadth
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passionate about retail and ready for a fast-paced role, come join us! About You You will have exceptional attention to detail, strong computer skills and excellent communication skills. Proven ability to work
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We are seeking a proactive and experienced Institute Administrator who will play a central role in the management of the Oxford Robotics Institute. This is a 12 month fixed term maternity cover. The role is based in central Oxford. The Oxford Robotics Institute is an institute within the...
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the impact of RdDM on seed development, particularly how the maternal somatic cells impact the developing seed. We work with a variety of plant systems and use genetic, molecular, and computational approaches