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scattering, and rheometry will be conducted to understand the dynamics and interactions between ingredients in the liquid formulation. This information will be correlated with atomic force and electron
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discipline that combines multiple data sources along the patient pathways and develops real-world evidence to inform future clinical practice. The project will involve developing novel methods such as
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of the research findings. Person Specification Candidates will be expected to have a first degree in Economics or proximate fields; strong analytical skills; experience in quantitative data analysis using large
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and preventing future losses, but their use remains limited. This project aims to use whole genome sequence (WGS) data from museum samples of Mazarine Blue and Large Copper butterflies to conduct a
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exposure and vulnerability to buildings, infrastructure, and people. This exciting PhD project aims to harness the latest developments in high-performance numerical models and data analytics technologies
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) approaches, along with Large Eddy Simulation, have demonstrated maturity in the prediction of many buoyancy-driven flows but require extensive validation. Two- and three-dimensional Computational Fluids
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The Nuffield Department of Population Health undertakes world-leading research into long term, chronic health conditions, operating large-scale long-term studies and projects to identify the causes
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-leading research into long term, chronic health conditions, operating large-scale long-term studies and projects to identify the causes, prevention and treatment of diseases that result in avoidable
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languages such as Python, and experience of Artificial Intelligence and machine learning. They will also be familiar with working with real world data and analysing data based on large and diverse datasets
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processing and cognitive adaptation to information overload. It will contribute to a large-scale lab experiment investigating how individuals comprehend and re-tell scientific content under varying conditions