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History, Engineering, Environmental Protection, Fine Arts, Genomics, Geophysics, Indigenous Affairs, Mathematics, Population Health, Public Policy, Statistics, Sustainability, Unmanned Aircraft Systems, and
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to demonstrate expertise in epidemiology, statistics, and/or nutrition science. You will have evidence of a passion for quantitative research, with an ardent desire to undertake research in predictive and health
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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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statistical studies. If you are or have participated in other scholarship programs funded or partly funded by APRA you are ineligible to apply. APRA also takes into account the relevance of the proposed
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History, Engineering, Environmental Protection, Fine Arts, Genomics, Geophysics, Indigenous Affairs, Mathematics, Population Health, Public Policy, Statistics, Sustainability, Unmanned Aircraft Systems, and