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Learning Designer Job No.: 698400 Location: Clayton campus Employment Type: Casual part time, 4 hours per week, from 13 Oct 2026 to 14 Dec 2026 Remuneration: Casual HEW 7 rates will apply Be
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Casual Senior Research Officer - Interactive Machine Learning Web Development Job No.: 697404 Location: Clayton campus Employment Type: Casual Duration: 16-weeks Remuneration: HEW 7, $65.09 per hour
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Research Fellow – AI/Machine Learning in Pharmaceutical Data Job No.: 697007 Location: Clayton campus Employment Type: Full-time Duration: 11-month fixed-term appointment Remuneration: $86,195
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evaluation will be conducted to assess the performance of these models, identifying their strengths and areas for improvement. Required knowledge Python programming Machine learning background
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Learning Support Officer - Indigenous Job No.: 698220 Location: Clayton campus Employment Type: Full-time Duration: Continuing appointment Remuneration: HEW 6 $100,155 - $108,106 (plus 17% employer
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, creating realistic audio deepfakes has become easier, raising concerns about misinformation and privacy. To combat this, this project aims to develop machine learning models to analyse audio features such as
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On-device machine learning (ML) is rapidly gaining popularity on mobile devices. Mobile developers can use on-device ML to enable ML features at users’ mobile devices, such as face recognition
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Manager, Learning & Capability Job No.: 694882 Location: Mulgrave Employment Type: Full-time Duration: Continuing appointment Remuneration: $145,062 - $153,976 pa HEW Level 09 (plus 17% employer
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. Scientific Contribution Our group has strong publication record of 100+ first or senior author top-tier (ERA ranking A*/A) journals and technical conferences in the machine learning and medical AI field. His
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Large language models increasingly adapt using external feedback to alter inference-time behaviour, persistent state or model parameters. However, the signals that drive these changes may be noisy, biased, incomplete, delayed, correlated with the model’s own errors, or progressively underused...