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Field
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proficiency in Python and R for scientific computing and pipeline development demonstrated experience in quantitative, statistical or data-driven modelling of biological systems experience developing
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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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, SOAP, CSS and Apache, Python, Git for version control Currency in system administration techniques and application to research infrastructure environments, system administration skills across a range of
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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 stay current with evolving threats and security technologies. Developing new ways to test system weaknesses. Programming/scripting skills (Python, Bash etc.). Automation and exploit understanding
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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
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Python-based ML frameworks to advance the platform from alpha to a validated beta prototype. Working within the JCU research environment and alongside industry partners (HCPSL, BPS, and SRA), the role
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problem-solving skills. Evidence of highly developed verbal and written communication skills. Demonstrated programming skills in a Unix/Linux environment (E.g. Python, R). Knowledge of regional climate
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relevant university degree and or hands-on experience programming liquid handling platforms (e.g. Hamilton Star V, VENUS or equivalent), including experience with Python-based scripting or similar languages
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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