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have a PhD and track record in either computer science with specialisation in relevant AI technologies for surrogate modelling, or in Earth or Environmental Science with a strong track record in
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-holder will lead a strategy for epidemiology research supporting outbreak response for UK-PHRST, manage new and innovative research projects and provide research expertise across the programme. They will
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, including degree and executive education programme invoicing, credit collection, and student loan management. You will report to the Associate Director, Finance Shared Services, and support the wider Finance
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expert where required. Confidently lead the presentation of the learning solution architecture including the design rationale, impact and narrative. Is a core member of Client programme teams, and owns
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guiding candidates through the admission process, positively influencing their views of our Programme and School. Arranging interviews for MBA applicants with Alumni in own region/s. Act as an ambassador
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The University of London The University of London is the UK’s largest provider of international distance and online learning and the convenor of a federation of 17 London-based universities, many of which are among the highest-ranking universities in the world. Collectively the federation...
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developmental science. The successful candidate will contribute to a major research programme investigating how educational experiences shape mental health from childhood into adulthood. The role involves working
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at the Barts Cancer Institute (Queen Mary University of London). This role will involve analysing existing spatial-omics data sets and developing novel computational tools to understand the risk of developing
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focus on the host immune response in tuberculosis. The appointee will be expected to develop their own research projects within the context of this research programme and obtain independent funding
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computational research projects and data infrastructure carried out in the research group. The post-holder will be able to develop research questions within Statistics, Population Data Science, Computational