Improving lung physiology testing with computational modelling and Bayesian parameter inference

This PhD position at the University of Manchester focuses on the sensitive early detection and monitoring of obstructive lung conditions, including asthma, cystic fibrosis, and chronic obstructive pulmonary disease (COPD). Despite advances in clinical practice, there remains a significant gap in the ability to detect and monitor these conditions at an early stage, which is crucial for improving patient outcomes. The project aims to address this gap by developing or evaluating new methods or technologies for early diagnosis and ongoing assessment of respiratory diseases. The research will likely involve interdisciplinary approaches, drawing from medical science, biology, and potentially biomedical engineering, to better understand disease mechanisms and improve clinical monitoring. The University of Manchester provides a vibrant research environment with access to leading experts and state-of-the-art facilities in respiratory medicine and related fields. Funding details, application requirements, and deadlines are not specified in the current description. Interested candidates are encouraged to monitor the university's official channels for further information.