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functionalisation, fabrication and characterisation of carbon materials for application in solar cells Predication and discovery of new materials for next generation solar cells driven by machine learning
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machine learning, multi-level complex data engineering, emerging technologies in transport and economics analysis. We’re offering this role as a hybrid position as part of QUT’s commitment to embracing
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modelling, discrete choice modelling, designing choice experiments and machine-learning methods to address sustainable transport and mobility challenges. We’re offering this role as a hybrid position as part
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biobank featuring thousands of novel microorganisms from the human gut, and machine learning models to predict how entire microbial communities will respond to changes in their environment. The successful