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include simulation and control implementation, data analysis, and knowledge dissemination through technical documentation and stakeholder workshops. This is a full-time, fixed-term role starting 1 September
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-scale job ads datasets, spatial datasets, patents). Conduct data analysis using econometric and statistical tools. Excellent knowledge of R is expected. Good knowledge of Python, experience with modern
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untapped potential remains in extracting value from this data. This PhD will explore advanced analytics techniques, including machine learning, digital twin modelling, time series analysis, spectral analysis
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skills in data linkage and advanced analysis from a world class supervisory team, and benefit from the broad collaboration of the CHILI Hub. This scholarship covers the full cost of tuition fees and an
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. The student will receive advanced training in quantitative analysis, experimental design, and computational modelling*, and benefit from close collaboration with researchers and policy advocates. The project
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network analysis of interactions between these features. These pipelines and computational tools will be used to integrate imaging and genetic data, and maps of myelin distribution in the cortical grey
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liquid nitrogen and liquid helium sample environments and integrating electrical biasing setups in the microscope to study ferroelectric materials in situ. Data Acquisition and Analysis: Process and
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fields, and risk damaging the part during fabrication. Finite element analysis (FEA) models, while capable of delivering detailed spatiotemporal distributions of thermal variables, suffer from limited
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and heat transfer in geothermal systems under high-pressure and high-temperature conditions relevant to AGS. • Developing high-fidelity direct numerical simulation (DNS) models to map
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. You will be taught a range of skills to complement, drive and strengthen your research: life-cycle analysis, techno-economic analysis, digital and business skills, ethics etc. You will also undertake