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state-of-the-art facility supporting the Target Malaria programme, an international not-for-profit research consortium developing innovative genetic technologies to help reduce malaria transmission
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Infrastructure (FDRI) programme, a major five-year investment by the UK Government designed to enhance the UK's resilience to floods, droughts and other hydrological extremes through world-leading environmental
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your career at a world-leading institution and be part of our mission to use science for humanity. Access to state-of-the-art facilities, including significant high-performance computing resources
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revolution in generative AI has been driven by the rapid growth in training and inference compute for Foundation Models (FMs). This scaling paradigm, however, is characterised by high energy demand, high
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Associate in Machine Learning for Protein Design will work on ProteinCAD, the computational protein-design tool of the CADMUS project , led by Dr James W. Murray at Imperial College London. CADMUS (Computer
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vision. The appointed Academics will contribute to one of the following strategic areas: Tribology & Interfacial Science, Computational Fluid Dynamics for Turbomachinery, Advanced Experimental Thermofluids
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understanding of data quality, reproducibility and robust analytical practice. Experience of SQL, cloud-based or high-performance computing environments, and Bayesian methods would also be valuable. Beyond
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opportunity to take ownership of a growing portfolio and drive its development, performance and impact. Working across teams, you will help create high-quality programmes that are commercially successful
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pursue ambitious, high-risk research to advance the fundamental science of artificial intelligence and address some of the field's most important challenges. The programme will create a unique
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an Imperial magnetometer, designed to investigate the fundamental properties of plasma turbulence and due to launch in 2030. You will join the team developing these instruments and supporting the operation of