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School of Mathematics and Physics Analytics for the Australian Grains Industry (AAGI) Play a lead role in developing crop trait prediction solutions Utilizes physics-informed machine learning (PIML
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including via a new initiative, Analytics for the Australian Grains Industry (AAGI) which involves researchers and students from the Schools of Agriculture and Food Sustainability, Maths and Physics, and
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. View the job details at: Queensland University of Technology - Postdoctoral Research Fellow in Applied and Computational Mathematics (nga.net.au) View Position Description Opens in new window
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Faculty of Medicine – Centre for Clinical Research (UQCCR) Join a university ranked in the world’s top 50 Expertise in infectious disease epidemiology and modelling Be part of an organisation with