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. These results will be linked to seismic reflection data through impedance-based interpretation workflows, enabling assessment of predictive accuracy across sediment types and data quality levels. The project
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. These results will be linked to seismic reflection data through impedance-based interpretation workflows, enabling assessment of predictive accuracy across sediment types and data quality levels. The project
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bone cells toward regeneration. These will be characterised using AFM and rheology, followed by immune–osteogenic co-culture studies to evaluate mechanotransductive signalling. The resulting data will
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environment, and may link to a broader programme on high-fidelity modelling for net-zero technologies. Number Of Awards 1 Start Date 1st October 2026 Award Duration 4 Years Sponsor EPSRC Supervisors Francesco
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-culture studies to evaluate mechanotransductive signalling. The resulting data will inform mathematical models linking material mechanics to biological responses, enabling the sustainable design of next
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PhD studentship in Computational Chemistry – Training force fields for computer-aided drug design with machine learning. Award Summary 100% fees covered, and a minimum tax-free annual living
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better representation of human alterations to river systems. For further information on the project, we will be hosting a ‘Prospective applicant webinar’ at 2:00pm on the 26th of November. Link
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or supercritical CO2 behaviour. The project will be developed within a vibrant research environment, and may link to a broader programme on high-fidelity modelling for net-zero technologies. Number Of Awards 1 Start
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science, or remote sensing. You’ll be part of a collaborative research environment with links to national agencies and research groups such as the British Geological Survey, Environment Agency and Newcastle
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inaccurate, and rain gauge networks, while reliable, are too sparse to capture highly localised storms. Reliable, high-resolution rainfall data is urgently needed to improve flood prediction, climate