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dynamics and vibration engineering - encompassing finite element modelling of floor systems, dynamic testing, modal analysis, signal processing, and familiarity with serviceability standards across steel
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STExplorer for HD analysis and will support insights into cardiac ageing. Research Aims: This computational biology project will apply our geospatial tools to new HD spatial datasets from human heart. You will
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STExplorer for HD analysis and will support insights into cardiac ageing. Research aims: This computational biology project will apply our geospatial tools to new HD spatial datasets from human heart. You will
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Dawson and Neil Gunn Eligibility Criteria · Programming (essential) · Statistics (essential) · Data processing and analysis (essential) · Water systems and hydrological
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expertise. Most of the skills needed (e.g. geospatial analysis, data handling, programming, and landslide‑hazard concepts) can be developed during the PhD with support from the supervisory team and training
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reliability. This PhD project will develop lifecycle and systems‑level models that track these fuels from production through storage, onboard use and energy conversion. Using advanced simulation and analysis
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these fuels from production through storage, onboard use and energy conversion. Using advanced simulation and analysis, the research will assess how different fuel pathways affect engine behaviour, hybrid power
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fibroblast identity and function within liver tumours and how these cells shape anti-tumour immune responses. The student will use in vivo cancer models, spatial tissue analysis and immunological profiling
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maintenance toward an autonomous, trustworthy system capable of real-time root cause analysis and automated recovery. The Research Challenges Ensuring the resilience of distributed IoT systems involves
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highly desirable. Experience with green infrastructure, nature-based solutions, bioretention/rain gardens, or environmental data analysis will be an advantage. Enthusiasm for field research, the ability