About the project
This project decodes the fundamental cellular and molecular mechanisms driving tissue health, failure, and fibrosis. Using advanced human primary cultures, comparative mammalian cell models, and spatial multi-omics, you will generate high-impact datasets to uncover regulatory drivers of disease. Comprehensive training in both advanced wet-lab workflows and data analysis will be provided.
Understanding how cells maintain tissue health or trigger irreversible decline is a frontier challenge in biomedical science. Using lung fibrosis as a primary disease model, this project investigates the core molecular networks controlling cellular fate, tissue regeneration, and scarring.
This is a laboratory-based project perfectly suited for an ambitious experimentalist eager to master next-generation workflows. Working within a dynamic, multi-disciplinary team, you will manage and drive laboratory models, utilizing mammalian cell culture (including primary and stem/progenitor cell lines) to model tissue behavior. You will gain hands-on expertise in cutting-edge molecular biology assays, including Next-Generation Sequencing (NGS) library preparation, and multi-omics workflows (ATAC-seq and RNA-seq). While the project is anchored in respiratory biology, the underlying cellular mechanisms link closely to broader tissue-remodeling projects within the lab, offering a highly collaborative environment.
For candidates interested in a hybrid skillset, there is an excellent opportunity to learn computational biology tools. You will be supported by tailored training to analyze your own multi-omics datasets, positioning you at the forefront of modern, data-driven cell biology.
You will benefit from active co-supervision spanning basic research and clinical science across the School of Biological Sciences and the Faculty of Medicine. The Graduate School provides dedicated training in scientific writing, project management, and career development, alongside vibrant engagement with the wider respiratory and computational biology communities.
