Closes 6 February.
The School of Mathematics and Statistics at the University of Sydney is seeking to appoint a Postdoctoral Research Associate to work on a project entitled ‘Multiscale data integration for single cell spatial genomics’. The successful candidate will work under the supervision of Dr Shila Ghazanfar on developing new statistical and algorithmic techniques to understand single cell spatial genomics data. This project has recently been funded by the Chan Zuckerberg Initiative.
Technological advances in measuring gene expression in a spatially resolved manner have resulted in several tour-de-force publicly available datasets, often accompanied by sample-matched dissociated single cell RNA-seq or single cell multi-omic measurements. However, many integrative data analysis tasks for spatial genomics are performed using tools designed with dissociated single cell RNA-seq data in mind, effectively ignoring the specific data structures of spatial genomics data. This project will develop new data science techniques for multiscale data integration of single cell spatial genomics, with applications in several collaborative contexts.
- Full time 18 month fixed term, located on the Camperdown Campus at the School of Mathematics and Statistics
- Opportunity to make valuable contributions to research in statistical bioinformatics and biomedical data science
- Base Salary Level A $97,043 p.a. – $100,717 p.a. + 17% superannuation