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statistical approaches to characterise disease trajectories, develop risk prediction models, and identify factors associated with differential treatment outcomes. The findings will improve understanding of long
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develop skills highly valued in FemTech and diet and health industries. These studentships are funded through GW4 BioMed3 MRC Doctoral Landscape Programme and consist of UK tuition fees, as well as a
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on clinical complications, and use machine learning to develop and validate predictive models to identify high-risk patients. The research aims to individualise inpatient care, reduce hospital-acquired
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idea in more detail using novel genetic epidemiological techniques in large global biobanks. The student will train in 3 world leading centres and will gain skills in immunology, statistics and genetic
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disorder with debilitating effects on a patient's quality of life. Because current medications do not work well, we need to study its molecular cause to develop new therapeutics. Recent research identified a
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applications. The research project aims to explore the integration of 2D materials, such as graphene and post-graphene structures, into PFAS-free formulations to develop multifunctional coatings for porous
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to develop PTSD, and while talking therapies are effective, not everyone fully recovers. We examine whether sleep can be used to improve trauma therapy. When we sleep, the brain naturally strengthens what we
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to work on a rapidly emerging offshore industry where many key engineering questions remain open. You will: Develop expertise in offshore structural dynamics Work with real-world environmental data and
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childbirth, does Causal AI identify as influencing infant outcome? Which are modifiable? Which modifiable factors could reduce ethnic disparities in infant outcomes? Aim: This PhD will develop and apply
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, speech, gaze, affective dynamics and interaction patterns. This PhD project will develop personalised AI models for computational mental health by simulating the latent cognitive processes underlying