PhD in Systems Biology in Glasgow United Kingdom | University of Glasgow

Systems biology focuses on a comprehensive, multi-scale approach to studying biological systems. Leveraging our connections with the polyomics facility, we utilize cutting-edge post-genomic technologies to gain deeper insights.
This field combines molecular and cellular biology to create a unified understanding of biological processes. Central to this approach is handling large datasets (from imaging, microarrays, RNAseq, proteomics, or metabolomics - areas where we have exceptional resources), complemented by computational biology to extract meaningful patterns. Systems biology proves particularly effective when studying model organisms like yeast, Drosophila, or Arabidopsis, as well as in human biomedical research. Many of our project supervisors maintain strong ties with pharmaceutical and agrochemical industries through their work in drug discovery, biotechnology, and clinical applications. The interdisciplinary character of systems biology fosters global partnerships between our active researchers, academic institutions, and industry. The College of Medical, Veterinary & Life Sciences offers funding for international lab visits, enabling students to conduct portions of their research abroad - an invaluable chance to expand professional networks and enhance scientific expertise.
Research topics align with current School projects, predominantly fundamental science investigations. We employ diverse interdisciplinary methods, spanning biochemistry, molecular biology, genetics, materials science, polyomics (including genomics, transcriptomics, proteomics, metabolomics), bioinformatics, structural biology, and advanced imaging. Key research areas encompass: modeling tissue-specific circadian rhythms in plants. genomic analysis of Drosophila tissue regulation. enhancing protein production in mammalian cells. studying mitochondrial adaptation to stress. investigating light-mediated hormone signaling in Arabidopsis. quantitative analysis of cellular transport systems. photosynthetic gas exchange from molecular to ecological scales. identifying metabolites influencing stem cell differentiation. processing and integrating complex omics datasets