Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
, or simulation-based models to study how decisions, incentives, feedback, and learning evolve over time in megaproject environments investigate system-level mechanisms, including stability, path dependence, lock
-
, including parameter optimisation and advanced monitoring techniques. Develop and refine process models, simulations, and automation strategies. Characterise microstructure, wear behaviour, and corrosion
-
artificial intelligence tools for medical imaging. The role will support the design of deep learning and predictive models for tumour segmentation, cancer detection, risk prediction, and outcome modelling
-
focus on COVID-19) involving a number of key Australian institutions. The research will use health economic and infectious disease modelling to evaluate the impact and cost-effectiveness of population
-
models for muscle and tendon repair, and the creation of integrated bone–tendon–muscle regeneration systems and advanced regenerative microenvironments. The role also offers opportunities for student
-
, experimental methods, and simulation techniques, as well as access to state-of-the-art experimental facilities. Supervisors: A/Prof Pierre Rognon, Prof David Airey, Dr Benjy Marks Institution: SciGEM, School
-
-culture, single-cell RNA sequencing, data analysis and in vivo models—to interrogate B cell responses in human samples and pre-clinical systems. This research aims to generate mechanistic insight
-
optimising the operation of physical test rigs for the validation of computational models. Expertise and/or experience in the use of computational modelling tools to analyse thermal hydraulics and multiphase
-
, or simulation-based models to study how decisions, incentives, feedback, and learning evolve over time in megaproject environments investigate system-level mechanisms, including stability, path dependence, lock
-
advanced statistical modelling to examine discreteness beliefs and prejudice patterns across cultures analyse societal-level predictors such as cultural tightness - looseness and collectivism - individualism