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the world. Ideal applicants will have a solid background in AI, machine learning, control theory or quantitative finance. Applicants with advanced programming skills (Python/C++); and a desire to publish in
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to different control measures, allowing us to develop strategies for optimal application of barrier treatment. This project is part of the national Analytics for the Australian Grains Industry (AAGI) initiative
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