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on disadvantaged ones. You will work with top researchers in data science (UTS) and social sciences (WSU and ANU) to develop statistical machine learning solutions for social good. This 3.5-year PhD project focuses
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candidate. The PhD project will focus on data analytics, data mining, and statistical modelling of complex biological system in crops. The project will have access to large volume of state-of-the-art Next
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awarded 1 Eligible courses PhD in Economics Eligibility criteria The applicant must have completed a Bachelor degree with First Class Honours in economics, statistics or related disciplines, or be regarded
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completing a research degree with a demonstrated research component and experience in statistical analysis. Good written and verbal communication skills, with an ability to explain technical detail to non
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models that can forecast the likely outcomes of current practices. The project aims to develop cutting-edge machine learning and statistical risk prediction techniques to predict each short-term, long-term
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, statistical and bioinformatic algorithms for the analysis of microscopic images and data obtained by various biochemical and biological assays. You will be part of and mentored by a multidisciplinary team
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Honours in economics, statistics or related disciplines, or be regarded as having an equivalent level of attainment. The applicant must have demonstrated strong background and skills in quantitative
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under 'Admissions' in PhD (Mathematical Science). Have a Master, first-class Honours or equivalent in one of the disciplines of statistics, mathematics, or data analytics/science. Excellent programming
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The aim of this project is to describe ion conduction and activation/inactivation processes by employing molecular dynamics and statistical mechanical methods. The expected outcome is an improved
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, or even Bayesian and statistical machine learning models. Explanations of models are also needed to reveal potential biases in the models themselves and assist with their debiasing. This project aims