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Background
This Scholarship is established from a gift from the Vonwiller Foundation to support research in the Digital Science Initiative where the successful applicants will develop novel clinical and data science approaches to Coronary Artery Disease (CAD) diagnostics. Working collaboratively, these students will accelerate research in applied machine learning to ultimately identify the molecular biosignatures of patients with silent atherosclerosis, and the application of these AI algorithms to imaging held in data banks such as BioHeart. Working in an interdisciplinary manner will bring together medical, computer science and engineering mindsets to apply a smart digital solution to a devastating physical problem.
Benefits
The Scholarship will provide a stipend allowance equivalent to the University of Sydney Research Training Program (RTP) Stipend rate (indexed on 1 January each year) for up to 3 years with a possible extension of 6 months, subject to satisfactory academic performance
Who’s eligible
You must:
- have an unconditional offer of admission to study full-time in a PhD within Faculty of Engineering at the University of Sydney
- be willing to conduct research in the area of Detection and Treatment to Prevent the Progression of Coronary Artery Disease (CAD)
- hold at least a three-year bachelor’s degree in the related fields below:
- Â Medical Informatics
- Computer Science
- Machine Learning / Deep Learning / AI
- Data Science
- Bioinformatics
- Applied machine learning or similar
Country :AustraliaÂ
Application Deadline :28 March 2023
HOW TO APPLY FOR
Click Here to Submit your Application on the University’s Website
