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Faculty of Science and Engineering’s vibrant doctoral research community, committed to delivering excellent research with real-world impact. This project sits within Manchester Met’s AI, Digital and Cyber
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(partnership industry / university) WP6: Digital ecosystem WP7: Quality and Impact of the Master Programme WP8: Dissemination and communication, sustainability and Open Science AI-DAPT: Contribute
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innovative, interdisciplinary fully funded PhD programme that brings together science, engineering, and mathematics to tackle some of the most pressing challenges of our time. Big Questions, Real Impact – From
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using cutting-edge computational techniques, including machine learning algorithms. Work collaboratively with an interdisciplinary and international team to refine and validate regional wave and ocean
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the job funded through the EU Research Framework Programme? Other EU programme Reference Number 101133273 Is the Job related to staff position within a Research Infrastructure? No Offer Description
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. There is a robust body of research showing that children with good spatial abilities are better at maths and science (Atit et al., 2022; Hodgkiss et al., 2021). Relatedly, Spatial ability in childhood
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Skills/Qualifications Admission Requirements Applicants must:• Be enrolled in a PhD programme in a relevant scientific area (urbanism, territorial planning, environmental psychology,geography, or related
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you passionate about pushing the boundaries
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3 Dec 2025 Job Information Organisation/Company ETH Zürich Research Field Biological sciences » Other Chemistry » Biochemistry Chemistry » Inorganic chemistry Chemistry » Other Environmental science
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inaccurate for most scientific applications. To harness these accelerators for scientific computing, one must develop new algorithms that combine low and high precision computations in a way that preserves