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requirements of Monash for PhD (https://www.monash.edu/graduate-research/future-students/apply); Knowledge of machine learning (would be a plus if familiar with NLP and Medical AI); Knowledge of cybersecurity
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direct medical advice, or developing a clinical product for hospital deployment during the PhD. The project is not limited to ordinary machine-learning evaluation where models are tested only on clean
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direct medical advice, or developing a clinical product for hospital deployment during the PhD. The project is not limited to ordinary machine-learning evaluation where models are tested only on clean
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Intelligence (AI) and Machine Learning (ML) to colorectal cancer research. Research Aim This PhD research aims to develop and evaluate explainable AI and machine-learning approaches for early detection
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Intelligence (AI) and Machine Learning (ML) to colorectal cancer research. Research Aim This PhD research aims to develop and evaluate explainable AI and machine-learning approaches for early detection
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Primary supervisor Levin Kuhlmann Research area Machine Learning What makes a machine conscious? This PhD would be at the intersection of Philosophy, AI and neuroscience. You would study the latest
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Primary supervisor Levin Kuhlmann Research area Machine Learning What makes a machine conscious? This PhD would be at the intersection of Philosophy, AI and neuroscience. You would study the latest
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electronic health records, clinical measurements and longitudinal patient data provides opportunities for advanced Machine Learning (ML) approaches. Research Aim This PhD research aims to develop
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electronic health records, clinical measurements and longitudinal patient data provides opportunities for advanced Machine Learning (ML) approaches. Research Aim This PhD research aims to develop
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requiring a lot of human supervision in the form of annotated data. Potential PhD topic include learning to learn and meta-learning, active learning, semi-supervised learning, multi-task learning