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This is a theoretical/computational postdoctoral position for the prediction and development of strongly correlated materials for use in quantum technologies. Project activities include
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Oxford Materials (Professors Robert House (PI), Saiful Islam, Peter Bruce), and UCL Chemical Engineering (Dr Rhod Jervis) brings together expertise in battery materials synthesis and device fabrication
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of transparency. The Role As a Postdoctoral Research Associate, you will contribute to both computational and applied aspects of the project, including fabric recognition, multimodal data integration, and AI-led
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between the Hong Kong Polytechnic University (HKPU) and the Royal College of Art (RCA), funded by the Hong Kong SAR Government’s InnoHK programme. Drawing on the research excellence of both institutions
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relevant field such as design research, textile engineering, or software development – or a Master’s with significant research experience Knowledge of textile processes, backend software development, and
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: Essential: Experience of working in a laboratory Some initial experience in basic techniques of molecular biology e.g. PCR, cloning, or qPCR Desirable: Previous work with genetically modified materials
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at the School of Engineering & Materials Science, Queen Mary University of London, working closely with researchers at the Digital Environment Research Institute & Barts Heart Centre. Barts Heart Centre provides
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of Engineering & Materials Science, Queen Mary University of London, working closely with researchers at the Digital Environment Research Institute & Barts Heart Centre. Barts Heart Centre provides one
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discipline with experience of experimental research in an electrochemical technology and experience of advanced materials characterization. Informal enquiries may be addressed to Paul Shearing: paul.shearing
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We are seeking a full-time Postdoctoral Research Assistant in Physics-Based Modelling of Advanced Batteries to join the Department of Engineering Science under the supervision of Prof Charles Monroe