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evaluation Applications of AI in biomedical research This project is suitable for students with an interest in genetics, computational biology, or data science. A background in statistics, computer
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for under Research Program. Application Close: Monday 10 August 2026, 11:55pm AEST Supporting a diverse workforce
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of Harm' as the scholarship you are applying for under Research Program. Applications Close: Monday 10 August 2026, 11:55pm AEST Supporting a diverse workforce
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Please note that this PhD topic is offered exclusively at our Monash Malaysia campus and is not available at the Clayton campus. Core PhD Question How can we design future medical AI systems that remain secure, privacy-preserving, explainable, and clinically reliable when exposed to adversarial...
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This project involves model-based depth of anaesthesia monitoring using autoregressive moving average modelling and neural mass and neural field modelling of the electroencephalographic (EEG) signal. This will be achieved through frequency domain and time domain state and parameter estimation...
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AI is now trending, and impacting diverse application domains beyond IT, from education (chatGPT) to natural sciences (protein analysis) to social media. This PhD research focuses on the fusing AI research and cybersecurity research, notably one current direction is on advancing the latest...
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, coordination or administrative roles within a global medicines context. The Master of Global Medicines Development Pioneers Scholarship aims to support the first cohort of students studying the program in its
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We are excited to offer a fully funded PhD position at the Faculty of Engineering, Monash University (Australia). This project focuses on developing new algorithms to equip social robots with the social, cognitive, and communicative skills needed to autonomously engage in meaningful, long-term...
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My research focuses on the theory of strongly correlated phenomena in cold atomic gases and electron systems. Particular topics of interest include low-dimensional quantum systems, superconductivity and quantum impurities. I was previously part of the Australian Centre of Excellence for Future...
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Machine learning has recently made significant progress for medical imaging applications including image segmentation, enhancement, and reconstruction. Funded as an Australian Research Council Discovery Project, this research aims to develop highly novel physics-informed deep learning methods...