72 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "J" uni jobs at Imperial College London
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evidence services including the development of a programme of health and information literacy training; evidence search services, current awareness and knowledge mobilisation services. They will use user
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% of their time undertaking a special programme of training offered by our training partner. The actual working times/days will be agreed according to Staff Compliance business needs. The role is fully aligned
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. Ability to work collaboratively, plan experiments, troubleshoot assays, undertake data analysis, and use safe laboratory working practices. Desirable experience for this role includes one or more of the
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partners, food organisations and diverse end-users in a wide-ranging and ambitious programme of work that provides a clear pipeline from fundamental research to commercialisation. The overarching vision
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diligent professional to join our team and support end-to-end pipeline engagement across two of our flagship MBA programmes. You will be empowered to attract and admit exceptional candidates who will benefit
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on computational modelling to determine physicochemical properties of small molecules with the aim of understanding/predicting their bacterial uptake. For this, the successful candidate will initially develop
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London, the University of Oxford, and GSK to establish a world-leading hub for model-informed medicine. You will also be working alongside Prof Steven Niederer’s computational and Prof Saman Sadiquis
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of interactive Power BI dashboards and reporting frameworks that transform complex data into clear, actionable insights. Working closely with the Power Platform Developer, you’ll design and optimise data models
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variety of techniques, spanning from synthetic and peptide chemistry to cell biology, to study biomedically important proteins. This position is part of a collaborative research programme between Imperial
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London, the University of Oxford, and GSK to establish a world-leading hub for model-informed medicine. You will also be working alongside Prof Steven Niederer’s computational and Prof Saman Sadiquis