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farmers, agronomists, and industry stakeholders to understand decision-making processes and simplify data capture and integration workflows. A strong background in data science and decision theory, combined
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in biosecure (PC2) facilities, following the Australian Code for animal use in research. Adhering to all facility regulations related to biosecurity, workplace safety, and laboratory animal care
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metrics, or similar frameworks. Strong programming skills in R, Python, or similar, with the ability to write reproducible, well-documented code. Familiarity with high-performance computing (HPC
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experience in using statistical and mathematical tools to analyse and interpret soil data, spatial modelling, multivariate statistics and/or machine learning, and relevant coding languages (e.g. R, Python