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of computer vision and machine learning. Previous experience of real time systems development in Python, OpenCV, PyTorch and deep learning are essential. Experience of C/C++/C#, TensorFlow would be beneficial
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synthesis methods Significant experience of conducting single technology or multiple technology appraisals, and/or early value or late stage assessments for NICE for either the TAR or the EAG programme
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Master's degree or Diploma, programme in natural sciences or equivalent aptitude. Didactic competences / experience with e-learning Excellent command of written and spoken English (C1 Level), futhermore good
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The School of Computer Science within the Faculty of Science & Engineering is seeking to appoint a Lecturer in High Performance Computing as a one-year fixed-term position. This is a pathway 1 role
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ethnographic research methods. Candidates must have been awarded a PhD in a relevant field, including but not limited to Science and Technology Studies, Design, Human-Computer Interaction, Critical Disability
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programme This project focuses on the application of digital health technology to study the contribution of sleep and circadian disturbance to brain function, neuropsychiatric symptoms and behaviour in people
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About the role We are seeking a full-time Postdoctoral Researcher to join the Oxford Secure and Advanced Computer Architecture Research (OSCAR) group at the Department of Engineering Science
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39 Faculty of Computer Science Startdate: 01.10.2025 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.03.2026 Reference no.: 4287 Among
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Role: Research Assistant - SEUPB TRACE Department: Global Business & Enterprise, School of Computing, Engineering, and Intelligent Systems Grade: 6 (£33,020) Responsible to: Principal Investigator
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may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How To Apply You must apply through the University’s Apply