586 computer-programmer-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "Computer Vision Center" PhD positions in United Kingdom
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Location: Faculty of Science and Faculty of Engineering, University of Nottingham, UK Start Date: 1 October 2026 This PhD offers an exciting opportunity to explore reservoir computing, a new
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Mobile Edge Computing (MEC) has emerged as a promising computing paradigm to support emerging high-performance applications by deploying resources at the network edge. However, most existing MEC
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Course: PhD studentship Project title: Exploring a One Welfare approach to human-animal-computer interaction in digital dairy technologies Principal supervisor: Charlotte Doidge Other supervisors
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Application’. Use ‘Course Search’ to identify your programme of study: search for the ‘Course Title’ using the programme code: 8040F select ‘PhD Civil Engineering – Civil Engineering (Structural) (full time
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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
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through a One Welfare and human-animal-computer interaction lens, examining how digital tools shape farmer-cow relationships, perceptions of care, and welfare‑related decisions. The project will investigate
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certificate prior to obtaining their visa and to study on this programme. How To Apply How to apply Please read and complete this document as your Personal statement, and upload this with your application
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#BeeWell is a youth‑centred wellbeing programme led by The University of Manchester in collaboration with The Gregson Family Foundation and Anna Freud. Working alongside regional partners
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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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together to answer some of the most important questions about the causes, prevention and treatment of disease. We are seeking a Researcher to apply statistical and computational approaches towards