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costs, and promote intelligent open-pit mine construction using big data such as vehicle GPS positioning, vehicle speed change, and attitude, as well as deep learning, statistics, and other data analysis
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criteria Strong statistics; experience working with complex data; comfort with scripting, Python; strong physics background. Application process This project has identified a preferred candidate and is no
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Certificate, diploma, degree or traineeship in any of the following areas: Business – including any business-related courses from any institution. Finance – including actuarial, statistics, accounting and
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remote area (as defined by the Australian Statistical Geography Standard (ASGS) to commence studies at Curtin Interested and available to join and participate in the Curtin UBL team for the duration
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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