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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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of Klebsiella, a clinically important pathogen. Combining eco-evolutionary theory, lab experiments, and genomic sequencing, you will help build and validate a model predicting how antibiotic selection shifts with
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brain circuits, but the role of protein synthesis in this key developmental process is still poorly understood. Using zebrafish and mouse models, this project will compare ribosomes in progenitors and
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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
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models (e.g., AlphaEarth, TerraMind) are currently being evaluated for different applications, but the inclusion of temporal components and newly available datasets in foundation models remains limited
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sleep technology that assesses the brain activity at home and explore why some people benefit more than others using cutting edge mathematical modelling. These studentships are funded through GW4 BioMed3
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the PhD, but should be willing and able to learn micro and nanofabrication, electromagnetic and micromagnetic computational modelling, theoretical and experimental analysis of electromagnetic properties
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nanofabrication, electromagnetic and micromagnetic computational modelling, theoretical and experimental analysis of electromagnetic properties of metamaterials, as well as the fundamentals of microwave