Closes 25 September.
The University of Sydney has formed a global collaboration with Hong Kong University to form to apply data science and artificial-intelligence methods to solve intractable problems in public health. In particular, to leverage multi-modal learning to explore and identify patterns between the myriad of biological modalities such as imaging (e.g. IMC), spatial transcriptomics and multi-omics COVID-19 data that is publicly available. The hub is part of the Laboratory of Data Discovery for Health, a joint project led by the University of Hong Kong in collaboration with the University of Sydney, University College London and the London School of Hygiene and Tropical Medicine.https://www.sydney.edu.au/news-opinion/news/2021/11/10/innohk-using-deep-data-to-tackle-global-health-problems.html
We are currently seeking to appoint a Postdoctoral Research Associate (Imaging) to work on this project. The successful applicants will be jointly supervised by Prof Jean Yang from the School of Mathematics and Statistics and Prof Jinman Kim from the School of Computer Science. Both schools have research strengths in many areas including strong bioinformatics team working on various aspects of biomedical data science research.
• Full-time, 2-year fixed term opportunity with the School of Mathematics and Statistics
• Be part of a global collaboration between Hong Kong University and the University of Sydney
• Level A academic appointment, offering a base salary of $97K – $100K+ 17% superannuation