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can occur that are very different to the macroscopic world. Our group develops methods to measure and ‘see’ this atomic detail using some of the world’s most powerful electron microscopes. We apply
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, hyperspectral imaging provides an opportunity to develop fast and non-invasive methods of detecting plant diseases and potentially discriminating between different disease types (e.g. virus, fungus, bacteria
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involves developing state-of-the-art methods for image segmentation, detection, classification, predictive modelling, and image enhancement. We aim to build more trustworthy and robust AI models that can
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Technology Centre (MTC). You will push the limits of multiphysics CFD for laser manufacturing by developing a next-generation simulation capability for laser drilling - with relevance to additive
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photoelectrochemistry and nucleic acid detection. Ultimately, the project may contribute to the development of novel biosensor technologies for detecting clinically relevant nucleic acids in healthcare applications
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PhD candidate to join our materials and manufacturing (M&M) research team. The position focuses on the development of bioinspired randomly featured materials with enhanced energy absorption. As a
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of the STAMP RSV Program, supported by the Stan Perron Charitable Foundation. The PhD candidate will play an important role in developing models of RSV transmission and vaccination efficacy to inform
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, the Fen Complex stands as a vital area for both scientific research and economic exploration. The general evolution of the complex is known to a certain extent with a general evolution from calcite
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, and conference travel. You will have access to cutting-edge laboratories, individual supervision, and a wide range of development opportunities. We are committed to family and academic life being
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Partnership and developed collaboratively with Sheffield Memory Hub (SMH), aims to address these gaps. The project will co-design, develop, and evaluate culturally appropriate dementia education materials