11 Statistics "University of Wisconsin Whitewater" PhD scholarships at Curtin University
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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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courses All applicable HDR courses Eligibility criteria We are seeking a highly motivated candidate willing to learn new skills and undertake statistical analyses using a variety of datasets. People within
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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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quantitative skills, including familiarity with epidemiology, statistics, exercise science, nutrition and/or neuroscience are desired for this project. The candidate will join an interdisciplinary team focused
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. Experience with crop modeling software, statistical analysis, and data manipulation in RStudio is highly desirable. Application process Please contact us via the EOI form . The EOI form supports the submission
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strong background in quantitative analysis, including proficiency in statistical analysis and data modelling. Familiarity with machine learning algorithms and programming languages such as Python or R