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optimisation methods for modelling and solving decision making problems. Advanced skills in computer programming for data manipulation and analysis methods including multi-dimensional analytics of large datasets
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Completion or near completion of a PhD in the discipline area Experience in application of mixed models in multi-variate and/or multi-dimensional scenarios Advanced skills in computer programming for data
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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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their expertise and growing research profile, aiming for national recognition in their discipline. As a Research Fellow within the ABiC program, you will mentor and supervise students, conduct data analyses
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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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development, as well as strong skills in qualitative and/or quantitative analytic methods, is required. This is a research focused position. Further information can be found by viewing UQ’s Criteria
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relationships with industry, government departments, professional bodies and the wider community. This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic