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sensing, signalling and memory, critically influences the disease onset and progression1. The Iskratsch Group , at the School of Engineering and Materials Science, Queen Mary University of London is
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About the role We are seeking a full-time Postdoctoral Research Assistant to join the Computing Infrastructure research group at the Department of Engineering Science (central Oxford). The post is
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View All Vacancies Reference: UOH-TA-429 Campus: Hybrid Faculty/Area: Faculty of Science and Engineering School/Department: School of Environmental Sciences Subject Group/Team: Geography and
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The College of Engineering and Physical Sciences (EPS) is seeking to appoint a Postdoctoral Research Associate – Digital Twin Training & SME Onboarding on a fixed-term, full-time basis. This is an
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sensing, signalling and memory, critically influences the disease onset and progression1. The Iskratsch Group , at the School of Engineering and Materials Science, Queen Mary University of London is
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. The successful candidate will have an engineering background and expertise in the development and deployment of radar-based technology for geophysical monitoring, and in the processing and interpreting of data
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We are seeking a full-time Postdoctoral Research Assistant in AI for Digital Health to join Professor Tingting Zhu’s research group at the Department of Engineering Science (Headington, Oxford
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until 30 March 2026, and may be extended subject to the availability and renewal of external funding. With a background in materials science, materials processing or related engineering or physical
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join the project team in October 2025 or soon after. The candidate will join the Department of Engineering at King’s College London. They will become a member of the Centre for Robotics Research (CORE
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adjustments will be made to support people within their role. Person Specification Essential Criteria: Qualifications 1. A good first degree in Electronics Engineering, Electrical Engineering, Aerospace