653 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "The University of Hong Kong" uni jobs at University of Sheffield
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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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University website https://sheffield.ac.uk/hpdh/postgraduate/phd-study/history to check that you meet the entry requirements for PhD study and submit your application via PG Online https://sheffield.ac.uk
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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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. 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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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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. 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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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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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
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manufacturing process physics. The central research questions are: Learning machine behaviour from limited data. Running machining experiments is expensive — each cut takes time, consumes material, and wears