33 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of Surrey
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of the Surrey Venture Studio (SVS), a pre-incubation programme supporting early-stage academic and community-led ventures across the University of Surrey, University for the Creative Arts, and Royal Holloway
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once the deadline passes. You will need to meet the minimum entry requirements for our PhD programme. We seek a highly motivated candidate with a strong background in electromagnetics, applied
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vets. In the role you will: · Use your skills to support theoretical and practical teaching, including in animal husbandry and veterinary sciences across years one and two of the programme, clinical
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possible, please contact Professor Gill Elliott once the deadline passes. You will need to meet the minimum entry requirements for our PhD programme . Applicants will have or expect to have an MSc, and/or
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scintillators to X-rays and gamma rays using radioisotopes and X-ray generators. The student will be registered on the Physics PhD program; however, the nature of this research project is highly multi
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students with face to face teaching, classroom and simulation alongside administrative tasks to support the delivery of the programme. About you We are looking for people who are passionate about teaching
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individually, make a real difference. The role We are looking for a Surrey Venture Studio Coordinator to support the operational delivery of the Surrey Venture Studio (SVS), a pre-incubation programme helping
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research. Entry Requirements This studentship is open to UK nationals, with an expected start date of October 2026. Applicants must meet the standard entry requirements for the Psychology PhD programme
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process - come and join our enthusiastic and creative team of medical educators. Our innovative programme aims to produce a new type of doctor - excellent and holistic clinicians who can drive change
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programming skills, Python frameworks for ML and real-time audio software • Curating audio datasets, spatial-audio/audio-visual recordings, and ML training/evaluation pipelines • Experimental systems