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This PhD research aims to develop and evaluate explainable AI and machine-learning approaches for early detection, risk stratification and prognostic prediction of colorectal cancer, with a focus on
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- and last-mile connectivity, minimise waiting times and empty travel, and ensure equitable service across different communities. The proposed methods will be evaluated through realistic urban simulations
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and apply for this exciting Research Fellow opportunity. About Monash University At Monash , work feels different. There’s a sense of belonging, from contributing to something ground breaking – a place
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) to improve cardiovascular risk assessment and prediction. Research Aim This PhD research aims to develop and evaluate AI and Machine Learning approaches for early prediction, risk stratification and prognostic
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Scholarship ($37,000 per annum). The stipend rate is indexed annually and published on the Monash University Graduate Research Stipend and Allowance Rates website. The Opportunity: This PhD stipend scholarship
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Monash University At Monash , work feels different. There’s a sense of belonging, from contributing to something ground breaking – a place where great things happen. We value difference and diversity
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, lifestyle and, where available, longitudinal patient data. Machine-learning and deep-learning methods will be developed and evaluated for early prediction, risk stratification and prognostic modelling
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and AI PhD candidate interested in agentic AI, supervised by Dr Teresa Wang and Dr Tongtong Wu at Monash University, jointly with Dr He Zhao and Dr, Dan Steinberg from CSIRO, Dr Yue Yang and David
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supported PhD scholarship at Monash University to undertake innovative research in the development, implementation and evaluation of living clinical practice guidelines in rheumatology. Based within
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the project, you will need to work with blind collaborators to ascertain how they would like to interact with such a system and then to evaluate the system.