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                the programme code: 8040F · select ‘PhD Civil Engineering (Structural) (full time) – 8040F as the programme of study You will then need to provide the following information in the ‘Further Details’ section 
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                learning is solely interested in model selection (i.e., identifying, given the available data for the task at hand, the model that is expected to perform best), we propose a new paradigm for an 
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                Data-driven predictions of dynamical systems are used in many applications, ranging from the design of products and materials to weather and climate predictions. Mathematical concepts from geometry 
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                30 Oct 2025 Job Information Organisation/Company The University of Edinburgh Department School of Engineering Research Field Engineering » Civil engineering Engineering » Geological engineering 
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                AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhDintelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap 
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                One fully funded, full-time PhD position to work with Alessandro Suglia in the Embodied, Situated, and Grounded Intelligence (ESGI) group at the School of Informatics, University of Edinburgh 
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                ). Acceptable first degree: Natural sciences, Environmental sciences, Physics, Chemistry, Mathematics or a similar numerical subject. Mode of Study: Full-time Start Date: 1 October 2026 Funding Information ARIES 
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                Number of Positions: 1 Eligibility: UK Only Funding: School of Civil Engineering Scholarship, providing the award of full academic fees, together with a tax-free maintenance grant at the standard 
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                first degree: Evolutionary Biology, Genetics, Conservation Biology Mode of Study: Full-time Start Date: 1 October 2026 Funding Information ARIES studentships are subject to UKRI terms and conditions 
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                mechanisms of the sexual conflict and its resolution. You will combine cutting-edge bioinformatics, genome engineering, and state-of-the-art sequencing technologies to: Identify and characterise consistent