Cells are the fundamental unit of life on Earth and exist in an incredibly diverse array of shapes and functions. This project aims to develop advanced computational methods including machine learning, network algorithms, and data science to understand cell diversity across organisms based on state-of-the-art single cell omic technologies.
The student will join a well resourced and innovative research group with multiple collaborations, both domestic and international, to perform world-class computational research (https://fabilab.org).
A strong background in computer science, physics, mathematics, bioinformatics, or other quantitative STEM disciplines is required. Members of underrepresented groups in STEM are particularly encouraged to apply.
How to Apply
Express your interest by emailing Dr Fabio Zanini at fabio.zanini@unsw.edu.au. Include a copy of your CV and your academic transcript(s).
School / Research Area
Clinical Medicine
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