59 programming-"the"-"DAAD"-"IMPRS-ML"-"UCL"-"FEMTO-ST-institute" positions at Imperial College London
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the Initiative’s Director, Professor Alison Holmes and the Executive Chair the Lord Ara Darzi, to deliver all aspects of this ambitious programme. This will include; overseeing the delivery of the purpose-built
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activity across all levels, whilst improving inclusiveness and removing barriers to participation. Predominantly based at the Boat House in Putney and reporting to the Rowing Programme Manager, you will be
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plan, resource, and direct an original and impacting research programme in a cutting-edge domain relevant to Transport. You will: Formulate an original and potentially significant programme of research
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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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Language, you will join our small team of BSL teaching staff, who teach on the Imperial Horizons undergraduate programme as well as on our after:hours adult education programme The role involves teaching
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plan your own scientific work with appropriate supervision You will appropriately process and store clinicalsamples You will be proactive in liaising with clinical and nursing colleagues
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(e.g. EdgeR/DeSeq2 for RNAseq) and developing new code using programming languages such as R or python. A PhD in computational biology or PhD in molecular biology, oncology or genetics with a
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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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Join Imperial College London as an Alumni Engagement Events Officer and help shape the future of alumni engagement at a world-leading university. You’ll lead a dynamic global events programme that
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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