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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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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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View All Vacancies Infrastructure Services Division Location: Camden (King's Cross, London) Salary: £39,969 to £50,760 Per Annum Including London Weighting Permanent / Full Time Closing Date: 23.59 hours BST on Thursday 19 June 2025 Interview Date: Tuesday 22 July 2025 Reference: ...
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performance computing infrastructure, and leading the university’s participation in The Alan Turing Institute. This is an exciting time to join DERI as it continues to expand, and you will have the opportunity
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About Queen Mary Queen Mary University of London (QMUL) is a globally unique university. Our combined focus on research excellence and inclusion sets us apart world-wide. We are a values-led institution with a strong brand identity centred on inclusion. Our new University Research Institutes...
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through to post-programme review—delivering to time, budget, scope, and quality. Establish and maintain clear project governance, timelines, and resource planning, ensuring roles, deliverables, and
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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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development including extensions, minor projects, refurbishment and a varied programme of work, including some survey work to establish a rolling fabric maintenance plan. You will be responsible
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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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, contributing to our development and the success of our mission. The core responsibility of this role is the development of multiscale computational models, with particular emphasis on bio-based composite