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profiles. Explore correlations between fibrotic phenotypes and patient ethnicity. Test six novel anti-fibrotic peptides (developed using generative AI to target TGF-β1 receptors) for their ability
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co-design workshops with men from Black backgrounds and lower income backgrounds, in communities across Yorkshire. You will lead data analysis within the team and help develop targeted recruitment
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suggest hypotheses for therapeutic targeting. This PhD studentship is part of the LifeArc ARDT, a UK-wide £12m partnership between Newcastle, Birmingham, and Belfast to accelerate rare disease trials
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factors (learning curve). These will be linked with the CCTA imaging biomarker data (quantitative plaque analysis) that is being collected as part of the EU HORIZON TARGET study to determine personalised
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, with only 40% of SO spilling less than the target 10 spills per year in 2023. Climate change impacts will exacerbate this issue, as more periods of drought (where pollutants settle in the bottom
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mitigating these statutory micropollutants. Following the monitoring, it is also essential to develop enhanced NbS strategies that target micropollutant removal and remain compatible with other ecological and
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. The subsequent data will then be used to populate machine learning models to predict which molecules to synthesise next, to maximise the binding affinity of the molecules to a target protein. This research aims
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sources, information (mis)alignment, domain shift, missing data modality, data privacy, data and computing cost. It will focus on targeted scientific problems to test the solutions, aiming at a lowest
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progression subtypes with the intention of identifying potential biomarkers and therapeutic targets. It will involve the study of large patient cohorts utilising phenotypes of dementia, proteomics and multi
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enhance system reliability and safety, aligning with the UK’s NetZero targets. Aim You will have the opportunity to build a high-fidelity process simulation and perform experimental validation to assess