82 computer-programmer-"the"-"IMPRS-ML"-"UCL"-"U"-"U.S"-"Prof" positions at University of London
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curricula and industry-engagement at our advanced production Futures Studio. They will also have the opportunity to work with the ground-breaking CoSTAR National R&D Lab, a £51.1m programme for converged
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, adaptability, and a relentless commitment to client satisfaction. Main Responsibilities Lead the full lifecycle of client programmes, from commercial handover through to post-programme review—delivering to time
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-respected training programme with an existing BABCP CBT pathway and systemic pathway. The post-holders will join an innovative and supportive team of over 20 academic staff with a range of expertise across
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this cohort are around 40,000 University of London students who study programmes which are developed and delivered in partnership with our 17 federation members. The University of London is also home to
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the MRes programmes, as required. In addition, the postholder will contribute to the 1st year tutorial programme, an undergraduate fieldtrip and undergraduate dissertation supervision, as required
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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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About the Role We are seeking an experienced senior project/data manager or database developer with leadership experience to lead our team of clinical trials data management and database development
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locally-employed laboratory personnel, ensuring all laboratory activities related to the LSHTM-COMAHS programme and ancillary and future studies are performed in strict accordance to Good Clinical
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programme. About the CoSTAR National 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
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Research Centre (BRC) programme is Precision Cardiovascular Genomic Medicine, co-led by Professors Panos Deloukas and Patricia Munroe. Our research focuses on (i) deep phenotyping with multi-omics and