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This Research Assistant position supports a UKRI-funded research programme developing anatomy-driven artificial intelligence methods for cognitive and translational neuroscience. The role focuses
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will have the opportunity to teach. Applicants should hold a PhD/DPhil, (or close to completion) in atmospheric physics or related fields. Experience in atmospheric physics and aatmospheric remote
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by ATi/Innovate UK and Rolls Royce and is fixed-term to June 2029. You will join a world‑leading programme advancing experimental and numerical methods to predict the impact performance of composite
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the recruitment process It is anticipated that the selection process will take place during April 2026. This will consist ofan interview. We plan to let candidates know if they have progressed to the selection
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challenges, from decarbonisation to sustainable manufacturing. We are seeking someone who can help bridge the physical and the digital. You will work across our sites to help connect our advanced equipment
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programme is to develop a deeper understanding of the immunology of infection, and in particular population carriage/immunity to inform the use (and development) of vaccines. Our focus is predominantly
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that helps drive translation of energy efficient data storage and neuromorphic computing innovations to commercial success across a range of sectors. The Post You will explore the dynamic processes that occur
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repetition rate) and high energies (via staging of plasma modules) required for application to particle physics and photon science. The position will be based at Oxford, utilising a dedicated plasma laboratory
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by the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to jobs@lshtm.ac.uk . Please quote reference EPH-EPIH-2026-01. The supporting
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%) allocated to teaching on the School’s programmes and developing the Alfred Landecker Programme. The post is generously supported by funds from the Alfred Landecker Foundation, to support a programme of