151 web-programmer-developer-"https:" "https:" "https:" "Newcastle University" positions at Imperial College London
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Multi-Scale Modelling Project, working within a nationally coordinated programme tackling the most pressing challenges in battery science. Playing a key role in advancing PyBaMM (https://pybamm.org
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European partners in a transnational network, implementing a multidisciplinary and intersectorial research and training programme between the academic and industrial partners, to research the self
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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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. Research themes would be flexible including green steel formability under the EPSRC ADAP‑EAF programme for automotive and packaging applications; or micromechanical studies of aluminium precipitate evolution
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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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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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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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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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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