29 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Multiple" research jobs at University of London in United Kingdom
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About the Role A Postdoctoral Research Associate position is available for 24 months within the School of Engineering and Materials Science at Queen Mary University of London to work on a Leverhulme
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, experience of health-related social science research, qualitative data collection and analysis. Experience of using deliberative methods and of working with multiple stakeholders is desirable but not essential
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is trial protocols—including patient identification, recruitment, and performing trial visits—the role is structured to provide an unparalleled training environment. You will join one of the world’s
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an engineer with biomechanical or other relevant skills in inflammation and pathology, though with experience of handling large datasets. About the School The School of Engineering and Materials Science (SEMS
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progression. The Iskratsch Group , at the School of Engineering and Materials Science, Queen Mary University of London is exploiting cutting-edge mechanobiological, as well as imaging approaches2-5 with the aim
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About the Role This Research Assistant position is an exciting opportunity to join the Centre for Advanced Robotics at Queen Mary (ARQ) within the School of Engineering and Materials Science. The
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of the Faculty of Science and Engineering, which comprises five schools and two institutes. This position is based in the Centre for Geometry, Analysis and Gravitation. Other Centres include the Centre
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in partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. The research will advance the use of multiple systems
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, biomedical engineering, medical imaging, or related field Experience in deep learning with practical implementation Strong Python skills and relevant frameworks Experience with large clinical imaging datasets
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conducting long-term participant observation, semi-structured interviews and empirical research in diverse settings. They will be confident managing sensitive data, maintaining rigorous and well-organised