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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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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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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
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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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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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. 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
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requirements using a variety of techniques such as time-based, multi-dimensional statistical and graph theoretic techniques. Specific aims of the projects are 1) defining and specifying a unified economic model
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their chosen course of study. Provide evidence to demonstrate their financial need; Have your permanent home address in a regional or remote area as defined by the Australian Statistical Geography Standard (ASGS