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PhD Studentship: Development of a robust hydrological modelling framework for drought risk assessments Award Summary Tax-free annual living allowance £26,546 a £20,000 research training grant and
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essential for cartilage development, skeletal growth, and adult joint maintenance. Enhancers—non coding DNA elements that fine tune gene expression—play a central role in controlling SOX9 expression. We have
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to taxonomic and ecological groupings. The development and exploration of models that integrate biological understanding with atmospheric dispersion models to predict spatio-temporal spread of wind-dispersed
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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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capable pests. Whether insect tree pests of concern to the UK can be classified by likely flight dynamics, and how these classes correspond to taxonomic and ecological groupings. The development and
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. Methodology The PhD will be divided into 3 work packages (WP): WP1 - Digital Twin Development: This WP focuses on building physics-informed digital twins for high-impact use cases: Smart Grids (simulating load
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analysis, with the aim of understanding how quantum-safe cryptography can be effectively integrated into next-generation network architectures. The work will contribute to the development of secure
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stormwater) are a sustainable solution, but their long-term performance often suffers due to generic design approaches that overlook plant ecology and the interaction with soil structure development. This PhD
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approaches that overlook plant ecology and the interaction with soil structure development. This PhD project will transform rain garden design by linking plant traits to hydrological and ecological outcomes
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achieved through the use of TC intensification principles. The proposed project will investigate the development of TCRs by studying the impact of geometries and microstructures on the hydrodynamics