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both potential and performance relative to opportunities when assessing suitability for the role. Applications close Saturday 15 November 2025 at 11.00pm AEST (R-55088). Please note that interviews have
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results. High levels of personal integrity, transparency and capability. Experience in computer coding for data analysis and visualisation (e.g. R, Python) is desirable The successful candidate may be
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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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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
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and as part of a team. Knowledge and competence in statistical analyses, data management and analysis packages (e.g. SPSS, STATA, R), and computer proficiency with experience using MS Word, MS Excel