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Field
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, defect localization, temporal reasoning, and predictive maintenance in complex inspection environments. A second contribution involves predictive maintenance algorithms that integrate static data sources
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into complex tissue-like structures. These structures offer exciting opportunities to mimic organ development and embryogenesis in vitro. However, current organoid models still only partially replicate natural
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, the MSCA Doctoral Network project SAILING (https://Secure AI and Digital Twin Empowered Smart Internet-of-Energy ) aims to establish a multidisciplinary network of leading research groups and industrial
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complex datasets. Interest in neurodegeneration and translational neuroscience. What we offer: A 2-year competitive doctoral scholarship and full benefits, renewable for two additional years
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below 2 tonnes CO2e/tonne of aluminium as a supplied component and eventually to Net Zero carbon. This project is concerned with development of high strength aluminium alloys designed to provide better
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crucial insights. In this project, you will contribute to the development of AI-driven methodologies for experimental fluid mechanics , focusing on: Designing multi-fidelity neural networks for adaptive
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processes and environmental engineering principles to ensure sustainability is embedded in the planning Experience modelling hydrological processes Experience of network simulation modelling i.e. for water
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existing projects, key staff and wider networks of artists, technologists, researchers, institutional partners, policymakers and other creative industries collaborators. The research is expected to combine
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validation. Within the PRECISE consortium, you collaborate with a multidisciplinary national network. You contribute to genotype-specific target validation, participate in the PRECISE Early Career program, and
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external tools and memory components to execute complex reasoning and decision-making tasks. These agents are increasingly deployed in domains such as healthcare, finance, cy- bersecurity, and autonomous