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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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, including planetary geology, fireball physics, impact crater analysis and statistics, and Solar System formation. The candidate will be exposed to a wide range of support from all personnel at levels
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of the research area and the key issues that relate to the area. Proficient in statistical analysis programs, such as SPSS, WarpPLS and AMOS and interpretation of results. Articulate in written and verbal
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that more than one in three women (37%) giving birth in Australia had a caesarean section (AIWH 2022). This statistic is compared with the caesarean rate of 31.9% in 1999 and 34% in 2016. Given that the World
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excellent organisation skills, and ideally experience with large datasets, data development, statistical analysis and working in health-related area all highly desirable. Must be eligible to enrol in PhD
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in both laboratory and field research, as well as data collection and analysis, are highly desirable. Experience with crop modeling software, statistical analysis, and data manipulation in RStudio is
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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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researchers with expertise across the planetary sciences, including planetary geology, fireball physics, impact crater analysis and statistics, and Solar System formation. The candidate will be exposed to a
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. Experience in mathematics, statistics, and simulations is also useful. Application process This project has identified a preferred candidate and is no longer available. Please review remaining scholarships
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including end-users and technical experts. The applicant must have quantitative skills as this project involve statistical techniques including structural equation modelling using packages including SPSS