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real-life data. Expected outcomes include improved anomaly detection methods with reduced false positives, thereby reducing the costs associated with investigating false positives and minimising resource
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multidisciplinary team. For enquiries, or a confidential conversation about the role please contact Associate Professor Sara Deilami, sara.deilami@mq.edu.au . Applications Close: Wednesday 11th of March at 11:59pm
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. Employer sponsored work rights are not available for this appointment. Questions? For more information about this opportunity, please contact Head, Ipswich Clinical Unit Associate Professor Thomas Nathow
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of Professor Diana Hansen. In this role, the successful candidate will participate in a multidisciplinary consortium, with research partners at Griffith University in Queensland. This NHMRC-funded project will
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Machine Learning for Image Classification. Eligibility You must: We would like you to have: sound knowledge of machine learning, computer vision and image processing strong programming skills. How to apply
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& Orchestration) Associate Professor Markus Wagner, Interim Head of Department, Department of Data Science & Artificial Intelligence, markus.wagner@monash.edu Lecturer in Internet of Things & Lecturer in Software
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for Academic Performance . For further duties, please click here to view the information booklet . Questions? For more information about this opportunity, please contact Associate Professor Alison Ledger
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employment is contingent upon the satisfactory completion of all pre-employment and/or background checks required for the role, as determined by the University. Enquiries: Associate Professor Fiona Wright
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for the role, as determined by the University. Enquiries: Professor Mehmet Yuce, Electrical and Computer Systems Engineering Position Description: Research Fellow Applications Close:Monday 13 April 2026, 11:55pm
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the satisfactory completion of all pre-employment and/or background checks required for the role, as determined by the University. Enquiries: Professor Mehmet Yuce, Electrical and Computer Systems Engineering