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Field
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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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) 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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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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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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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
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large, heavy infrastructures are not suitable for deployment in active environments. This project will apply recent advances in spectroscopic imaging, analysis and detection, as well as collimator
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research and / or experience of qualitative research. Expertise will be gained in how to use large datasets (‘big data’) to address clinically relevant questions and how to design and conduct a clinical