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information systems) Have a strong background in quantitative research and methods, including handling large datasets Have a sound understanding of statistics and experience using multi-level statistical
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., routing decisions through bushfire-affected communities); conduct experiments with participants to collect data on decision-making during simulated bushfire events; and develop statistical models
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responsible for delivering key insights, information and data products to stakeholders across the university by leveraging techniques such as statistical modelling, machine learning and data visualisation. You
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finite element analysis (FEA). Data Analysis and Statistics: Knowledge of statistical software packages (e.g., R, Python, SPSS) and data visualisation techniques. Desirable experience Experimental Skills
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operating environment. To be successful in this position, you’ll have as a minimum: Demonstrated advanced capability in statistical analysis approaches and other analysis techniques. Demonstrated experience
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science and application of statistics Knowledge and experience in R studio and spatial databases To Apply Please submit your CV and letter addressing the Key Selection Criteria numbers 1-5 and 8 and 11 (from