74 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "https:" "Dr" "P" PhD positions at University of Nottingham
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PhD Studentship: Preclinical modelling and therapeutic targeting of glioblastoma infiltrative margin
PhD Studentship Advert Title: Preclinical modelling and therapeutic targeting of glioblastoma infiltrative margin Supervisors: Prof Ruman Rahman, Dr Stuart Smith, Dr Phoebe McCrorie Project Overview
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programme combining research-led innovation with real-world industry application. Keyword Search: Consumer sensory science, immersive technology, virtual reality, emotional profiling Award Start Date: 01/10
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of particular importance to primary care, with details of training opportunities for SPCR Trainees found here: https://www.spcr.nihr.ac.uk/career-development/spcr-trainees . The award includes home tuition fees
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repair and maintenance of gas turbine engines. Applicants are invited to undertake a fully funded three-year PhD programme in partnership with Rolls-Royce to address key challenges in soft robotics
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programme combining research-led innovation with real-world industry application. Keyword Search: Consumer sensory science, immersive technology, virtual reality, emotional profiling Award Start Date: 01/10
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at Nottingham https://www.nottingham.ac.uk/coatings/ is an international reference for all Thermal Barrier Coating activities. This PhD programme, in partnership with Rolls-Royce, will address key challenges
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human-animal-computer interaction lens, examining how digital tools shape farmer-cow relationships, perceptions of care, and welfare‑related decisions. The project will investigate how farmers engage with
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Supervisors: Prof Ioan Notingher (School of Physics and Astronomy) Dr George Gordon and Dr Abdelkhalick Mohammad (Faculty of Engineering) Funding: fully-funded (stipend and PhD fees) Start date
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human-animal-computer interaction lens, examining how digital tools shape farmer-cow relationships, perceptions of care, and welfare‑related decisions. The project will investigate how farmers engage with
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a groundbreaking £6 million EPSRC Programme Grant to reduce the soaring energy demands of artificial intelligence . The computational team will work in collaboration with many partners in academia and