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Analytics for the Australian Grains Industry (AAGI) Spearhead ground breaking advancements in data engineering by leveraging cutting-edge machine learning techniques Strong commitment and action
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on the application of advanced or specialist or technical research skills or processes, including computer vision, machine learning and data management. Assists in the conduct of complex tasks involving all stages
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that test their understanding and application of programming concepts. Pioneer the use of generative AI for authentic student assessment, enhancing learning outcomes and helping shape the student experience
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Assistant to join our team. The successful candidate will play a crucial role in supporting the operationalisation of learning experiences, clinical placements, and assessment activities within the Doctor
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, and AI/Machine Learning for energy management will be highly regarded. Join a team of world class colleagues at the leading-edge of computer science, IT and electrical engineering. Based at our vibrant
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excellence in research and teaching, contributing to our growing international profile. Key responsibilities will include but are not limited to: Teaching and Learning Research Service and Engagement
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Experience in Machine Learning OR human factors, HCI or psychology will be highly regarded. Based at our picturesque and Vibrant St Lucia Campus About UQ As part of the UQ community, you’ll have the
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systems (like Workday) with excellent computer skills using a variety of applications and proficient excel skills (Mail merge, V-look up, pivot tables for large data sets). Demonstrated problem solving and
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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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flexible information assistance and literacy programs, understanding research output metrics, and using various computer applications for learning material development. You must have unrestricted work rights