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Field
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of wind tunnel components in elite motorsport. This interdisciplinary project will develop a data-driven approach to understand and predict how process settings, build orientation, machine variability, and
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for the following programme: https://study.ed.ac.uk/programmes/postgraduate-research/495-informatics-ipab-robotics-computer-vision-computer-graphics with a start date of 14 September 2026 (home applicants
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. This is further hindered by a lack of diverse big data resources and matched, powerful analytical tools. As a result, progress in the field has been characteristically slow over the last 50 years
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develop AI- and deep learning–based computer vision tools to automatically identify and quantify intertidal organisms. Beyond computer vision, it will leverage machine learning for large-scale, data-driven
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details can be found at https://www.net-zero-fibe-cdt.eng.cam.ac.uk/ The project is funded in collaboration with CamDragon Co. Ltd, a Cambridge-based SME offering engineering consultancy and STEM education
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of discrete models of variational PDEs from data”, Chaos, Jan. 2024; 34 (1): 013104, doi:10.1063/5.0172287, https://arxiv.org/abs/2308.05082 M. Pförtner, I. Steinwart, P. Hennig, J. Wenger, „Physics-Informed
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case study, supporting local action, and generalising and sharing findings for the benefit of other regions. The focus will be on data collection, processing, analysis and visualisation and systems
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of multiple long-term conditions resulting in increased risk of hospitalisations, polypharmacy and/or mortality using population-scale, linked, electronic health records from the Secure Anonymised Information
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for REF 2021 - Research Excellence Framework. For more information about our research results and case studies please visit the following link https://www.exeter.ac.uk/research/ref2021/ Projects Available
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PhD studentship in Computational Chemistry – Training force fields for computer-aided drug design with machine learning. Award Summary 100% fees covered, and a minimum tax-free annual living