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NTU, CEE is a leading school for Sustainable Built Environment. We are looking for a research fellow to support the development of smart connectors for modular floating breakwaters. The role will
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, and sports halls. Personal Development: Access to courses run by our Organisational Development & Professional Learning team. Access to on-site childcare, shopping discounts and travel schemes are also
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students, and playing a significant role in external grant development. Key Responsibilities Research Leadership Design and lead independent and collaborative research projects in multimodal AI, foundation
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. Funded by Innovate UK through a Knowledge Transfer Partnership (KTP), the Fellow will lead the development of an end-to-end AET testing framework, encompassing data assembly, software interfacing, test
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collaborators, for a project focused on the development of a large external research grant application titled Gen(d)erations: Past stories, present perspectives and future approaches for trans and non-binary
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experimental studies. You will also contribute to research publications, collaborative research projects, and the development of future research proposals within a multidisciplinary research environment spanning
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researcher (DREAM) network and offers career development opportunities. Both Centres link to activities in the wider Faculty of Medicine and Health Early and Mid-Career Research Network, supervised grant and
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of Medicine, and study normal and pathological development of the human inner ear using stem cell-derived organoids as a model system (Koehler et al., Nature Biotechnology 2017; Nie et al., Nature
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for the development of Performing literature review and background study on multi-modal AI safety Apply knowledge on large multi-modal models to optimize training and inference processes Conduct experiments to compare
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on application logic rather than underlying algorithm development), and the capability of independently driving the full "Data-AI-Deployment" process; (c) the ability to evaluate the fit between AI applications