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models that can forecast the likely outcomes of current practices. The project aims to develop cutting-edge machine learning and statistical risk prediction techniques to predict each short-term, long-term
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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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, statistical and bioinformatic algorithms for the analysis of microscopic images and data obtained by various biochemical and biological assays. You will be part of and mentored by a multidisciplinary team
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under 'Admissions' in PhD (Mathematical Science). Have a Master, first-class Honours or equivalent in one of the disciplines of statistics, mathematics, or data analytics/science. Excellent programming
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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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including microscopy (SEM, TEM, HRTEM); spectroscopy (absorbance, fluorescence, FTIR, EDX, XPS); crystallography (XRD); statistical analysis (cluster tools, discriminant tools, regression analysis) and color
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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