153 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UNIV" positions at University of Sheffield
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Data-Driven Numerical Modelling of Materials for High-Temperature Nuclear and Energy Applications
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Developing Novel Tools for the Analysis of Local Order using Total Scattering Data (TScat)
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: Applications accepted all year round Details This PhD project focuses on using topological data analysis (TDA) in machine learning (ML) to study (exotic) quantum matter systems defined on a lattice. TDA is a
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Application Deadline: Applications accepted all year round Details Gas turbine engines are among the most complex engineered systems in operation today, generating vast quantities of multi-modal data across
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designs Increasing trust and explainability in automated decisions Traditional machine learning (ML) approaches require large volumes of annotated defect data and significant manual oversight
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power grids against geomagnetic disturbances and radiation hazards. While data-driven models have gained prominence, balancing high-fidelity predictive accuracy with physical interpretability remains a
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/experiments. performing studies on chick embryos, investigating the role of axial mesendoderm on hypothalamic development. Perform bioinformatic analyses, including data mining of chick scRNA-seq datasets
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has: Experience leading large PPP or PFI contracts. Strong negotiation, analytical, and data-driven skills. A focus on governance, compliance, and risk management. The ability to communicate effectively
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online provision of the pre-sessional courses you will need: a modern laptop or desktop computer in very good working order (Windows 11 or macOS Tahoe 26.1 preferred) a headset (strongly recommended) or
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(to be investigated) and analyse the prospective outcome after having "trained" the model with current data. In view of the outcome, there will be the possibility of proposing key decisions