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quantitative discipline or equivalent experience. · Experience applying statistical or machine learning methods in real-world contexts. · Proficiency in Python and/or R for data analysis and modelling. · Strong
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University systems, such as UQ’s Reportal, Power BI, and custom tools (e.g. Python). Lead and contribute to improvements in data processes, tools and capability, identifying opportunities to enhance data
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econometric skills and proficiency in statistical programming using software such as Stata, R, or Python. Experience with administrative data and knowledge of advanced techniques, including structural
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, troubleshooting, incident/problem management, and service improvement Strong scripting or automation skills, ideally in PowerShell and/or Python, with the ability to bridge gaps across platforms A collaborative
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reporting and data insights Desirable: Experience with HR or workforce data Experience in a large or complex organisation, ideally within higher education Exposure to tools such as Python or R Role
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to mentoring and contributing to a positive research culture Desirable: Experience with programming tools (e.g. MATLAB, Python, R) for data analysis Experience working with human pluripotent stem cell
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-level proficiency in R (and/or Python) for data wrangling, modelling, visualisation, and reproducible reporting workflows demonstrated capability in managing and analysing large, complex datasets with
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experience with programming (e.g., Python), machine learning, or educational data is beneficial, it is not a strict requirement. The project provides ample opportunities to develop these skills over time. What
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. Strong coding skills in Python, including deep learning libraries such as Transformers, Pytorch; statistical analysis packages. Good fundamentals in deep learning models in text, vision, audio or similar
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using open‑source and commercial software (e.g. Fiji, Python, Imaris). Extensive experience delivering high‑quality microscopy training through one‑on‑one instruction and group workshops. Strong track