Description
Tumours lose features of multicellularity, such as tissue differentiation and coordinated cell division, and start to resemble colonial unicellular organisms. We apply network biology and evolutionary analysis to bulk and single-cell RNA-sequencing data to understand how gene regulatory networks that evolved to enforce multicellularity are disrupted and rewired in cancer. From this we aim to develop new biomarkers to predict which patients will have better or worse clinical outcomes.
Basic proficiency in programming and/or statistical analysis desired.
Flexible working arrangements permitted.
Essential criteria:
Minimum entry requirements can be found here: https://www.monash.edu/admissions/entry-requirements/minimum
Keywords
cancer, bioinformatics, genomics, evolution
School
Biomedicine Discovery Institute (School of Biomedical Sciences) » Biochemistry and Molecular Biology
Available options
PhD/Doctorate
Masters by research
Honours
BMedSc(Hons)
Short projects
Time commitment
Full-time
Part-time
Top-up scholarship funding available
No
Physical location
15 Innovation Walk
Research webpage