25 programming-"Multiple"-"Duke-University"-"O.P"-"FEMTO-ST-institute"-"U"-"Fraunhofer-Gesellschaft" positions at University of London in United Kingdom
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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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at the forefront of business education, including liaising with colleagues at Peer Schools. Leverage close relationships with faculty, alumni, external clients, Careers and Programme Offices to support the effective
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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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. 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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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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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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managing the administration of taught programmes within the school. The role will be responsible for ensuring the smooth running of multiple diverse in-sessional, pre-sessional, foundation, undergraduate 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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For You should apply if you: Thrive in innovation environments and enjoy working across multiple disciplines, including technology, research, and creative industries. Have a strong track record in programme
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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