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to contribute to a high-profile, interdisciplinary research programme at the interface of AI, medicine, and molecular biology. As part of this position, you will benefit from: Work within Imperial’s NHLI, a world
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imaging, physiological measurement, machine learning, and high-performance computational modelling. You will work with cardiology, cardiac electrophysiology, imaging, and biomedical engineering teams
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As the aerospace sector pushes the boundaries of aircraft performance – and sustainable operations – with highly flexible primary structures (such as high-aspect-ratio and morphing wings
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efficient processes and governance frameworks to support programme growth. You will manage and develop a high-performing team, building capacity to deliver complex deep-science accelerator sessions and multi
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controlled by our unique multi-spectral focused ultrasound device to perform "mosaic neuropharmacology"—a method for manipulating neural circuits across the brain noninvasively in both space and time. This
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closely with other laboratory staff in the facility and with personnel at Imperial and to our partners, including other cores/scientific staff, High Performance Computing Service, Data Centre and cloud. You
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parameters; and then conjugating them to drug-filled liposomes. These microbubbles would be controlled by our unique multi-spectral focused ultrasound device to perform "mosaic neuropharmacology"—a method for
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to graduation—across all programme types. Working within regulatory frameworks and alongside senior colleagues, you’ll help ensure decisions are correctly implemented and communicated. You will also lead core
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of Aeronautics, collaborating with experts in DNS/LES, dynamical systems, and data‑driven modelling. Hands‑on experience with high‑performance computing, advanced numerical methods, and ensemble‑based optimisation
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research profile, including opportunities to publish in high-impact journals, contribute to grant applications, and present at international conferences Access to excellent computational resources, training