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impact. Expertise in translating educational questions into data models, dashboards, and practical insights using tools such as Power BI, Python, SQL, or R. Deep understanding of pedagogy, curriculum
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2025 at 11.00pm AEST (Job Reference Number: R-56973).
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potential and performance relative to opportunities when assessing suitability for the role. Applications close Saturday 29 November at 11.00pm AEST (Job Reference Number: R-57460).
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to opportunities when assessing suitability for the role. Applications close Thursday 27 November at 11.00pm AEST (Job Reference Number: R-57991).
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(R-56825). Please note that interviews have been tentatively scheduled for 11th December.
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relative to opportunities when assessing suitability for the role. Applications close Sunday, 16 November 2025 at 11.00pm AEST (R-57722 and R-57734). Applications will be reviewed as received. Candidates may
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. Demonstrated experience in leading or co-leading economic evaluations alongside trials of health interventions, using STATA and/or R software. Demonstrated experience in modelling long-term health outcomes and
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, implementation, and statistical analysis. Strong skills in econometric and statistical software (e.g., Stata, R, Python). Knowledge of retirement income systems, asset drawdown behaviour, and housing wealth
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Excel (essential); familiarity with Endnote and R (desirable). Experience extracting, summarising, and analysing data from literature, or ability to quickly acquire these skills. Excellent problem-solving
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phone or urban mobility data. Advanced expertise in GIS and statistical tools or packages, such as R, ArcGIS Pro, QGIS, or STATA. Strong written and verbal communication skills. A developing track record of