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at least one relevant language or environment, such as Python, MATLAB, Julia or similar. Strong written and verbal communication skills, including the ability to publish research outcomes and engage
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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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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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. Applied experience in the analysis of genomic data (bioinformatics), including reference based and reference-free pipelines, and relevant coding languages (e.g. bash, R, Python), and a sound understanding
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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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for success We are committed to providing a recruitment process that is fair, equitable and accessible to everyone. We recognise that it may be helpful for us to adjust our process to make it equitable for your
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). For full details about this role, and other criteria, please review the Position Description . Setting you up for success We are committed to providing a recruitment process that is fair, equitable and
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data centre loads influence the safe, secure and reliable operation of the electricity grid. You will develop advanced modelling capability for data centre energy demand and support grid power flow
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-reclamation process to support technology scale-up Join CSIRO – Australia’s leading scientific research organisation! About CSIRO As Australia's national science agency, CSIRO is solving the greatest challenges