647 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" positions at University of Sheffield
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years stipend and tuition fees at the Home status rate at the School of Mechanical, Aerospace and Civil Engineering at the University of Sheffield under the supervision of Professor Pierre Ricco (http
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to develop cutting-edge imaging and analytical tools to answer fundamental biological questions about how tissues and tumours respond to mechanical stresses. Lab website: https://www.helenmatthewslab.org
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webpages for further information: https://www.sheffield.ac.uk/postgraduate/phd/scholarships Loans are available to eligible home fee-paying doctoral students studying postgraduate research courses: https
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presenting papers at conferences. Contribute to literature review, data analysis and elicitation processes to obtain model parameters. Prepare research documents including research reports, project updates
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Victrex (the world leader with 75% market share in PEEK tribological polymer, who will supply test samples), ORE Catapult (who will supply wind loading data, and the potential for field trials), Klüber (a
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apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes Self Funded or externally funded students only References Cirillo, S., et al., (2024
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/apply/applying All applicants should ensure that both references are uploaded onto their application as a decision will be unable to be made without this information. References "Group webpage: https
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the technique and broaden its application to include additional materials for a range of environmental and operating conditions. The project aims to develop a data driven GPU accelerated agent-based materials
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Project and Data Co-ordinator Department/School: National Technician Development Centre Contract type: Permanent/ Hybrid/Flexible options considered. Overview We have an exciting opportunity within
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tracking error. The aim is decision-grade uncertainty quantification (UQ) and principled data-driven parameter selection. Hence, the project will develop automatic portfolio rebalancing driven by UQ analysis