Looking to list your PhD opportunities? Log in here.
This project is no longer listed on FindAPhD.com and may not be available.
Click here to search FindAPhD.com for PhD studentship opportunitiesAbout the Project
PhD position is available for a highly motivated trainee in the dry lab at the Weatheritt Lab within the EMBL Australia and Garvan Institute of Medical Research in Sydney.
Our research focuses on aims to investigating RNA regulatory mechanisms driving evolution. We are a multi-disciplinary lab and candidates will have opportunities to learn both wet and dry skills (depending on interest and experience).
Requirements for Computational Biology students:
The candidate should have experience in computational biology or bioinformatics. Expertise in analyzing RNA-seq, nanopore, scRNA-seq, CLiP-seq or ATAC-seq would be a bonus. International candidates with publication/s are encouraged to apply or first class honours. Our laboratory is committed to diversity and equality.
If you are interested, please send your c.v. and a cover letter explaining your interest in the lab to [Email Address Removed]. For international students, an international scholarship is required that is awarded on a competitive basis.
This EMBL Australia affiliated project offers the opportunity to do great science in one of the best genomics and transcriptomics biomedical centres in the world, and to combine that with a great lifestyle in one of the best cities in the world.
http://www.emblaustralia.org/about/our-people/robert-weatheritt
Funding Notes
References
Luck et al. (2020), Nature
Avgan et al. (2019), Genome Biology
Ha et al. (2021), Nature Communications
Santos-Rodriguez et al. (2021), eLife

Search suggestions
Based on your current searches we recommend the following search filters.
Check out our other PhDs in Sydney, Australia
Check out our other PhDs in Australia
Start a New search with our database of over 4,000 PhDs

PhD suggestions
Based on your current search criteria we thought you might be interested in these.
Understanding disease through population-scale long-read sequencing of diverse genomes
University of Leicester
Structural and copy number variation analysis using adaptive long read sequencing
University of Nottingham
Understanding asthma through population-scale long-read sequencing of diverse genomes
University of Leicester