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to their culture and pay our respects to their Elders past and present. View our vision towards reconciliation . Role highlights Apply large language models and multi‑agent AI to accelerate crop breeding Integrate
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in resistance management. Recording, managing and analysing data using established data science methodologies (FAIR, coding workflows, version control). Preparing publications, reports and conference
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applying increasingly sophisticated AI technologies to develop practical, responsible and scientifically credible solutions. Building on recent innovations in Generative AI and large language models, you
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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
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models and tools to assist in understanding equipment operation and support equipment design. Performance of techno-economic evaluation for selected reclamation processes. Assist in the conduct
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of compound stability, release kinetics, and bioavailability using simulated feed manufacturing and digestive models. Undertake in vivo validation of delivery technologies in model organisms (e.g. Artemia) and
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Engineering (with bioenergy focus), Environmental Science, Agricultural Economics, Data Science or Modelling (with agriculture or bioenergy focus). Please note: To be eligible for this role you must have no