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university’s external enrolment procedures. Selection criteria To be eligible applicants must have: A background in agriculture, meteorology, hydrology, or environmental science, with proficiency in statistical
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are looking for a motivated PhD candidate with an interest in clinical and emotion research. Candidates should ideally have strong skills in quantitative statistics. Must be eligible to enrol in PhD programs
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) – Statistical Modelling Full-timeSchool of Medicine and DentistryNathan, QLD PhD Scholarship: Anthropocene in Australia: faunal change through timeFull-timeDVC ResearchNathan, QLD Active Kids Program Leader
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requirements to be an attendee, statistical power for a controlled trial will be straightforward to achieve. The main components of the project are already piloted in earlier completed studies, including several
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their joints using our statistical shape and appearance model. We aim to better understand how alterations in joint mechanics affect the morphology and composition of human joints – some will thrive and others
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numbers of minimally-interpretable models being used, as opposed to traditional models like decision trees, or even Bayesian and statistical machine learning models. Explanations of models are also needed
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quantitative skills, including familiarity with research methodologies, data analysis, and statistical tools are desired for this project. A solid understanding of pharmaceutical sciences, including relevant
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-fatal drowning. The extensive Australian coastline, the popularity of aquatic activities and associated risk practices means young people are over-represented in water-related injury statistics and
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water-related injury statistics and drowning deaths. Deaths occur at the beach, off rocks in rivers whilst swimming and boating. Often these recreational activities involve the consumption of alcohol
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Statistics for the Australian Grains Industry 3 (SAGI3). Investment. The University of Adelaide, in collaboration with Curtin University and The University of Queensland, is leveraging machine learning, data