149 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" positions at Macquarie University
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quantum technologies. More details about our SiP Lab can be found at: https://www.mq.edu.au/faculty-of-science-and-engineering/our-research/silicon-platforms-lab How to Apply To be considered
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of synthetic biology, photonics, and quantum technologies. More details about our SiP Lab can be found at: https://www.mq.edu.au/faculty-of-science-and-engineering/our-research/silicon-platforms-lab How to Apply
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, attention to detail and willingness to learn make you someone others rely on and enjoy working with. About Us One of the leading arts and humanities faculties in Australia, Macquarie's Faculty of Arts is
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willingness to learn, and a genuine desire to contribute to the smooth and efficient running of the Faculty. Your ability to stay calm under pressure, maintain strong attention to detail and work
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Intelligence or Machine Learning, with demonstrable analytical skills. Excellent research record evidenced by first-author publications in strong international journals and conferences. Proven experience in
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, activities, and events Processing payroll including timesheets and responding to related enquiries Coordinating assessment materials, including preparation, printing and archiving of teaching/ learning
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: the brain and learning; effective pedagogical practice; behaviour management; and/or responsive teaching. These roles are Teaching and Leadership focused – the successful applicants will contribute
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alongside relevant teams to deploy Machine Learning models for predictive analytics and advanced insights. Leverage generative AI and Natural Language Processing (NLP) to implement end-to-end solutions
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. Providing timetable advice internally and with central teams to coordinate and support class registration and management, with a focus on course-level timetabling to improve student experience of learning
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an advanced AI-augmented digital platform (AiCT-Med) powered by cutting edge machine learning models trained on multiple large, aged care datasets from providers across Australia. The platform is designed