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Dynamic prediction of longitudinal markers and time to disease progression in metastatic melanoma patients

This project aims to develop individualised dynamic event prediction models, combining simultaneously longitudinal biomarker data and time-to-event data. more...

Supervisor(s): Lo, Serigne (Dr), Long, Georgina (Professor)

IMPROVING MELANOMA PREVENTION, EARLY DETECTION, AND CLINICAL MANAGEMENT

PhD and Masters research projects could include:- Analysis of epidemiological or clinical data related to skin cancer risk factors, health outcomes or clinical practice guidelines- more...

Supervisor(s): Cust, Anne (Professor)

QUANTIFYING INTER-INDIVIDUAL VARIABILITY IN CIRCADIAN RHYTHMS

The overarching goal of this set of projects is to understand the brain mechanisms of inter-individual variability in circadian rhythms and develop tools for personalized prediction more...

Supervisor(s): Postnova, Svetlana (Dr)

Forecasting soil conditions

Not knowing where and how soil responds to climate change and human intervention compromises food, water, climate and energy security. Currently there is a lack of soil process know more...

Supervisor(s): Minasny, Budiman (Professor), McBratney, Alex (Professor)

Do hydrological models cope with complex Australian catchments?

Climate change and rapid land use change has forced a rethink on hydrological models. Non-stationarity (where trends in time-series are non-linear or non-uniform) is now the norm, a more...

Supervisor(s): Vervoort, Willem (Associate Professor), Bishop, Thomas (Associate Professor), Van Ogtrop, Floris (Dr)

Groundwater Protection with Geosynthetics Clay Liners: Behaviour under Unsaturated Conditions

Geosynthetic Clay Liners (GCLs) are engineered systems made of bentonite clay sandwiched between two geotextiles and used in conjunction with high-density polyethylene geomembranes more...

Supervisor(s): El-Zein, Abbas (Professor)