92 computer-programmer-"St"-"University-of-St"-"FEMTO-ST"-"St" positions at Imperial College London
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Intervention (EI) services. The post is based within the Hintze Centre programme on mood disorders and will support future AI-enabled diagnostic tools and longitudinal research. In this role, you will be
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Training Programme is for those with little or no work experience, please check your eligibility to apply here . The programme provides hands-on experience working on projects or activities conducted by
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of Vienna, and RIKEN in Japan. You will be managing the overarching strategic, outreach and administrative support for the research programme, working closely with the investigators from across the programme
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Manufacturing Hub, a wider research programme to transform the development and manufacturing of medicines improving the sustainability pharmaceutical manufacturing processes. The project is a collaboration
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the Department of Mathematics, submit publications to leading refereed journals, and help with teaching and administration. You will be expected to undertake a self-directed program of research and scholarship
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publications to leading refereed journals, and help with teaching and administration. You will be expected to undertake a self-directed program of research and scholarship, play a role in the national and
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help with teaching and administration. You will be expected to undertake a self-directed program of research and scholarship, play a role in the national and international Mathematics community, in
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, with our Global online MBA programme ranked 3rd in the world in the QS Online MBA ranking. We have a clear vision to continue to progress in the global rankings for both our MSc and MBA programmes
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Project Manager to lead this transformation, overseeing a programme with an initial capital investment of £3 million in 2025/26 and a total estimated value of £12 million over five years. In this role, you
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on a new project called TRUSTLINE, which is part of the Learning Introspective Control (LINC) DARPA Program. The project aims to develop machine learning (ML)--based introspection and monitoring