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service roles and administrative processes efficiently and effectively. Collaborate in service activities external to the immediate unit, fostering partnerships with industry, government, and community
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technology for mining industry to achieve sustainable rehabilitation of mine wastes and severely degraded soil. We are leading many large industry-partnered projects to deliver cutting-edge solutions
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). Citizenship and Service Demonstrate citizenship behaviours that align to the UQ values. Contribute to the School’s links with community, industry, government and professional organisations and groups. This is a
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School of Mathematics and Physics Analytics for the Australian Grains Industry (AAGI) Play a lead role in developing optimisation and decision-making models in agriculture supply chain analytics
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leave loading, flexible working arrangements, and genuine career progression opportunities via the academic promotions process. About You Completion or near completion of a PhD in Agriculture/ Plant
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of staff support and development. About This Opportunity This is an exciting opportunity for a Postdoctoral Research Fellow to work with multidisciplinary academic and industry partners and apply
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Analytics for the Australian Grains Industry (AAGI) based in: School of Electrical Engineering and Computer Science Lead role in Multimodal Foundation Models in Smart Agriculture AAGI at UQ
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School of Agriculture and Food Sustainability Analytics for the Australian Grains Industry (AAGI) Mixed model (REML)statistics for breeding – non-linear / optimisation approaches Full-time Academic
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transition Australia to a carbon neutral economy. This Centre expects to generate new knowledge using experimental and computational approaches to develop systems-level understanding for industry-ready carbon
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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