Applying long-read sequencing technologies to cancer genomes

This Earmarked Scholarship project is aligned with a recently awarded Category 1 research grant. It offers you the opportunity to work with leading researchers and contribute to large projects of national significance.

Supervisor – Dr Adam Ewingadam.ewing@mater.uq.edu.au

Tumour genomes are frequently highly rearranged relative to the corresponding non-tumour genome along with aberrant CpG methylation and gene regulation. Current second-generation sequencing technologies are limited in their ability to resolve genome and transcript structure as well as interrogate genome-wide methylation status. Long-read third-generation sequencing technologies mark a significant improvement in our ability to address these issues and better understand tumour biology. This project will aim to develop and apply novel computational methods for studying tumour rearrangements and aberrations in genome-wide regulatory status in epithelial solid tumours.

Preferred educational background

Applications will be judged on a competitive basis taking into account the applicant's previous academic record, publication record, honours and awards, and employment history.

We are seeking a PhD student with a degree in computational biology, bioinformatics, computer science or another quantitative discipline. Significant programming experience and good working knowledge of the Linux/unix command-line is highly desirable. Additional background in or familiarity with molecular genetics is desirable.

*The successful candidate must commence by Research Quarter 4, 2022. You should apply at least 3 months prior to the research quarter commencement date. International applicants may need to apply much earlier for visa reasons.

Apply now