134 parallel-programming-"Multiple"-"Humboldt-Stiftung-Foundation"-"Simons-Foundation" positions at University of London
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the University, in accordance with the Immigration, Asylum and Nationality Act 2006. Full-Time, Permanent Royal Holloway is undertaking an exciting portfolio of digital projects (Digital Plan) in support of our
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understand. You will have a proven ability to manage a complex workload and deliver on multiple projects in parallel. About the School/Department/Institute/Project The Academic Centre for Healthy Ageing (ACHA
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will assist multiple trial teams across the trial lifecycle, while also supporting the smooth running of CPTU’s core functions. This will require excellent organisational and communication skills, strong
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Programme Offices to support the effective delivery of London Consulting Projects and ensure the outcomes meet students and client expectations. Team line management. Role model the School's culture and
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treatments. To achieve this, we will develop personalised cardiac models at scale, and update these models over time, using imaging and electrical data collected by collaborators at multiple centres. We
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runs a vibrant programme of around 500 events. Philanthropy plays a significant role in the life of the Academy and supports our mission to develop and educate the musicians of tomorrow. The Royal
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. About the National R&D Lab: The CoSTAR National Lab is the largest ever investment in creative industries R&D by UKRI. A £51.1m programme led by Royal Holloway, University of London to develop a National
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lifecycle of client programmes, from commercial handover through to post-programme review—delivering to time, budget, scope, and quality. Establish and maintain clear project governance, timelines, and
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Responsibilities Provide timely and accurate administrative support for all Degree Education and PhD courses offered by the department. Liaise with the Central Services team and Programme Offices to ensure efficient
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including malaria, have experience and understanding in using multiple metrics for analysis, experience with design and implementation of study protocols, experience of data analysis in Stata and programming