329 computer-architecture-"https:"-"https:"-"https:" Fellowship positions in United Kingdom
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About the job: This project, led by Queen’s and involving a consortium of the 4 NI HEIs, aims to deliver a research-informed and evidence-based development programme for school leaders
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and distributed across digital platforms. The research will build on Surrey’s world-leading work in content authenticity and media provenance. You will develop new Computer Vision, AI and multimedia
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and distributed across digital platforms. The research will build on Surrey’s world-leading work in content authenticity and media provenance. You will develop new Computer Vision, AI and multimedia
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of placental function and reduce the risk of stillbirth. This post forms part of the internationally funded Wellcome Trust programme, which aims to develop new approaches to measure, model and predict pregnancy
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, process optimization and food characterization. Key Responsibilities Lead bench formulation of mushroom‑based and plant‑based food products, especially focusing on muscle‑like architectures to achieve
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In this role you will support the delivery of two exciting, EPSRC-funded research programmes at the University of Nottingham, working across AI, human-computer interaction, and creative technology
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(CRUK) funded centre. The Centre features an ambitious research programme for radiation oncology and radiation biology. The network, Cancer Research UK RadNet, is the charity’s largest ever investment in
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footage, coordinate laboratory recording campaigns and human annotation of welfare states, and work closely with Ace Aquatec's engineering team to specify, train and evaluate AI/computer vision models
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visa application fees is available, subject to eligibility and organisational policy. There is a Research Fellow (Post-doc) position available in the field of Computational Structural Biology, based in
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of placental function and reduce the risk of stillbirth. This post forms part of the internationally funded Wellcome Trust programme, which aims to develop new approaches to measure, model and predict pregnancy