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. This study aims to construct a transparent, non-invasive predictive framework combining machine learning and explainable AI (XAI) to differentiate malignant from benign pelvic masses, stratify patient risk
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, demographic, lifestyle, laboratory, imaging and longitudinal health data provides opportunities to apply Artificial Intelligence (AI) and Machine Learning (ML) to colorectal cancer research. Research Aim
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. The increasing availability of electronic health records, clinical measurements, medical imaging and longitudinal health data provides opportunities for Artificial Intelligence (AI) and Machine Learning (ML
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for Artificial Intelligence (AI) and Machine Learning (ML) to support earlier and more personalised healthcare. Research Aim This PhD research aims to develop advanced AI and Machine Learning methods
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data provides opportunities for advanced Machine Learning (ML) approaches. Research Aim This PhD research aims to develop advanced Machine Learning methods for prediction, risk stratification, clinical
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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