156 web-programmer-developer "https:" "https:" "https:" "https:" "Washington University in St" positions at Imperial College London
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Oct 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Is the Job related to staff position within a Research Infrastructure? No Offer Description About the role
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help create the next generation of doctors and scientists—benefiting patients and populations globally. We are seeking a highly motivated individual to join our team as Programme Administrator
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people from all walks of life and particularly, with young people? If so, you could join Imperial as the Makerspace Programmes Manager. You will manage the Makerspace workshop and Makerspace team who
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must however ensure responsible use of lubricants by minimising its impact to the environment. This experimental project is centered around the development of novel water-based lubricants for EVs and
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programme on development of direct ammonia solid oxide fuel cells. This programme represents a new and timely collaboration between the United Kingdom and Singapore and will be based at Imperial Global
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programme on development of direct ammonia solid oxide fuel cells. This programme represents a new and timely collaboration between the United Kingdom and Singapore and will be based at Imperial Global
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to understand and develop a practical, method‑by‑method guideline that support statisticians in the design and analysis choices of SMART trial. This includes: Approaches to sample size calculation and design
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substitute for lithium-based thickener is sorely needed. This experimental project aims to develop sustainable thickeners for grease applications. We will explore both novel materials and also recycled
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The Costa Laboratory (https://profiles.imperial.ac.uk/t.costa ), in the Department of Life Sciences (https://www.imperial.ac.uk/life-sciences ), Imperial College London, invites applications for a
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and mechanisms in the development of colorectal, pancreatic, and renal cancers. The project also entails development and implementation of cutting-edge methods for multi-omic risk prediction, and the