Develop and apply machine learning and bioinformatic algorithms in biomedical research.
Join our multidisciplinary research team to develop and apply machine learning and bioinformatic algorithms in biomedical research. This PhD project will focus on developing machine learning, statistical and bioinformatic algorithms for the analysis of microscopic images and data obtained by various biochemical and biological assays.
You will be part of and mentored by a multidisciplinary team, including members specialising in biology, microfluidics, machine learning and clinical research from RMIT University and Leading Technology Group (LTG). LTG is an Australian group of medical research companies that spans research equipment and reagents, hospital software and clinical trials. LTG'S research mission is to accelerate medical research and they hope to achieve that goal through microfluids and machine learning in this collaboration with RMIT.
The scholarship will provide a stipend of $31,885 per annum. The duration of this scholarship is 3 years with the possibility of a six-month extension.
One (1).
To be eligible for this scholarship, you must:
Please send expressions of interest and inquiries to Associate Professor Khashayar Khoshmanesh at khashayar.khoshmanesh@rmit.edu.au. Expressions of interest should contain the following information:
Applications are now open.
Applications will close when a candidate is selected.
This scholarship will be governed by RMIT University's Research Scholarship Terms and Conditions.
Associate Professor Khashayar Khoshmanesh at khashayar.khoshmanesh@rmit.edu.au
Acknowledgement of Country
RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Sentient' by Hollie Johnson, Gunaikurnai and Monero Ngarigo.