450 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "P" positions at University of Oxford
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completion of, a relevant PhD/DPhil together with relevant experience. You will have the ability to lead and report an original research programme, as shown by a documented research track record, including
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(Academic Futures) is an interesting and varied role with two main areas of work: (1) working to support the development of the Academic Futures programme and scholar cohort, the University’s flagship
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of specified email communications which fulfil the objectives of programme and portfolio marketing plans, including creating and maintaining a comms calendar to ensure the timely delivery of messaging to our
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support the smooth running of our postgraduate programmes, with a primary focus on the MSc in Global Health Science and Epidemiology and occasional support for the DPhil programme and medical student
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), which will inform the University’s plan of action in this area. We are looking for two individuals who have sufficient knowledge in this area of work, and are able to manage their own research and have
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increase the endowment and the future financial sustainability of the Foundation and its ambitious programme of digital publication. The post is open to academics with an international reputation and
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robust risk management across the portfolio. You will bring extensive experience in programme, project and portfolio management within complex organisations. You will have a proven track record in
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scope, plan, and manage the execution of detailed project plans to ensure delivery of key outcomes within agreed timelines and University standards and lead the project team, providing overall direction
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supervision and research leadership for postdoctoral fellows, doctoral and Master’s-level students; the ability to play a major part in developing the Faculty’s research and teaching programme, including
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-linear systems of ordinary differential equations and the proficient use statistical programming languages (R, Julia or Python), Bash computing and the development of computational packages are essential