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Opportunity to conduct research into a longitudinal database of the data gathered for selection and assessment in the Sydney Medical Program. Research advice in design, sampling and analysis. Quantitative statistical expertise

Secondary analysis of admissions and assessment data collected as part of the Sydney Medical Program. We have a longitudinal database for over 10 years of data for students and ano more...

Supervisor(s): O’Mara, Deborah (Associate Professor)

Socio-Technical Futures Lab – Artificial Intelligence

Emerging technologies such as machine vision, AR/VR, AI and recommendation systems raise profound questions about the relationship between technology and society, and how these tech more...

Supervisor(s): Goggin, Gerard (Professor), Carter, Marcus (Dr)

Socio-Technical Futures Lab – Machine Vision

Emerging technologies such as machine vision, AR/VR, AI and recommendation systems raise profound questions about the relationship between technology and society, and how these tech more...

Supervisor(s): Goggin, Gerard (Professor), Carter, Marcus (Dr)

Socio-Technical Futures Lab – Recommendation Systems and Data

Emerging technologies such as machine vision, AR/VR, AI and recommendation systems raise profound questions about the relationship between technology and society, and how these tech more...

Supervisor(s): Goggin, Gerard (Professor), Carter, Marcus (Dr)

Socio-Technical Futures Lab – Augmented Reality and Virtual Reality: AR/VR

Emerging technologies such as machine vision, AR/VR, AI and recommendation systems raise profound questions about the relationship between technology and society, and how these tech more...

Supervisor(s): Goggin, Gerard (Professor), Carter, Marcus (Dr)

Low-power Intelligent Bio-Signal Processing

This project aims at developing a responsive implant that is making decisions based on smart bio-signal processing. more...

Supervisor(s): Kavehei, Omid (Dr)

Artificial Intelligence in Ion Channel Drug Discovery

Application of machine learning and artificial intelligence methods to develop models predictive of drug activity, selectivity, stability and distribution. The project will be condu more...

Supervisor(s): Balle, Thomas (Associate Professor)