675 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" positions at University of Sheffield
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. Cyber-physical power systems deploy the latest information and communications technologies to enable the data and information flows across different entitles of physical networks. Such ‘cyber’ systems
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measurements. Desirable Interview / Application Experience of CFD of reacting flow. Desirable Interview / Application Further Information Grade 7 Salary £38,784 - £47,389 Work arrangement Full-time Duration 01
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reliably stratify patients based on their fracture risk. The position is funded as part of Horizon 2020 European Project (https://www.metastraproject.eu/ ) that aims to provide a combination of models
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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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, multiscale, high-fidelity simulations that emulate in real-time the state of a corresponding physical twin based on historical and real-time sensor data. The comparison of physical and virtual data throughout
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, passive scalar in flows and flows through porous media using OpenFoam. Highly Desirable Application/Interview Excellent data analysis skills, with experience post-processing large volumes of computational
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. Longitudinal cohort study: coordinating a prospective study to quantify pain prevalence and treatment burden. This includes utilising telehealth infrastructures for recruitment and data collection. Data analysis
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). Information on what documents are required and a link to the application form can be found here - https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Your research proposal should be no longer than one
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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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at the heart of the Materials 4.0 initiative and aims to replace traditional trial-and-error methods with a data-centric, agile workflow. The research strategy integrates three core pillars starting with Digital