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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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theory, Bayesian inference, Monte Carlo simulation, and statistical analysis of subjective data. Data science and machine learning - big data analytics, surrogate modelling, digital twin development, and
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PhD Studentship in bioinformatics and cardiovascular biology - Exploring the application of geocomputational methods to high resolution spatial transcriptomics data from the human heart Award
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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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the home fees and international fees. Overview Interested in bioinformatics, and high-resolution mapping of human heart? This PhD project will investigate how computational geography methods can be scaled
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PhD Studentship - Process Industries: Net Zero CDT: Lifecycle & Systems Modelling of Future Marine Fuels and Engine Systems Award Summary 100% fees (UK home only), a minimum tax-free annual living
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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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code:8050F Research Area: Computing Science Select ‘PhD Computer Science’ as programme You will need to provide information in ‘Further Questions’ section: ‘Personal Statement’ (mandatory) - upload
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: design of experiments, life-cycle analysis, techno-economic analysis, digital and business skills, ethics etc. You will also undertake short courses in the core subjects of this PhD programme including
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synthesis, qualitative interviews with key stakeholders and an analysis of TIA clinic data you will help to understand how stratification might assist in delivery of more appropriately targeted care. You will