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primary research aim will be to explore how the geometry of data can help build better uncertainty-quantifying models, particularly for complex data types like molecules and images. However, other research
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maximum of ONE student per project. This process will ensure an excellent fit of student to project and also an excellent strategic fit of the project within the faculty. Project titles: Bayesian methods
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of neuronal cell models using genetic (lentiviruses) and pharmacological tools, working with patient derived stem cells and advanced microscopy techniques. We invite passionate and motivated individuals to join
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sensing (e.g., PlanetScope, Sentinel-1), advanced numerical modelling (HEC-RAS, Delft-FM), and targeted field surveys to map mining intensity, simulate channel adjustment, and assess changing flood hazards
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this project unique? You will use cells isolated from human blood and innovative in vivo models in zebrafish to dive deep into the exciting world of RNA biology and immunology, exploring how ELAVL1 regulates
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used in other safety-critical sectors. Review international AV regulations and identify gaps in explainability and traceability. Develop a formal DCD model capable of representing AV reasoning and
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Software Development: Building the Next-Generation Trust Maturity Model Integrating DevOps practices into ML-driven systems: A Framework and Maturity Model for Continuous Machine Learning Development
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of contaminated soils on soil strength and erosion control. Developing a Model for the Adoption of Agentic AI in Facilities Management: Enabling Autonomous Decision-Making for Sustainable Built Environments
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start. Applications are welcome to our Schools listed below. For any queries about any aspect of the application process or informal enquiries about where your research might fit within a School, please
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financial economics. You will work at the frontier of interdisciplinary research, using high-resolution flood models alongside property data to build a dynamic picture of where flood hazards are concentrated