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psychology, political science or social-affective neuroscience completed or near completion prior to commencement of employment. The fellowship is available from September 1st 2025 or soon thereafter
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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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nanomaterial-nucleic acid hybrids for optimal device bio- and gas sensing, as well as for optoelectronic applications. About You The candidate will have experience in materials science research and ideally DNA
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need to have the ability to work both independently and as a member of a team. About the School/Department/Institute/Project This post is within the School of Engineering and Materials Science, a large
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About the Role To undertake research investigations in collaboration with and under the supervision of Prof Gareth Sanger in order to realise the objectives and development of the research programme
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of a team, are also requirements of the role. About the School This post is within the School of Engineering and Materials Science (SEMS), a large School with 108 academics, over 250 PhD Students and
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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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, and the US in both engineering and atmospheric science Access to a state-of-the-art, high performance computing cluster You would work as part of a dynamic team working to enable truly sustainable
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successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in developmental cognitive computational science, neuroscience, computer science
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subject area for the research programme is essential. Demonstrable experience in computational biology, computer science, statistics or related field. Essential experience in scripting languages to support data