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-disciplinary team of clinician scientists and computer scientists to develop diagnosis/predictive/treatment/robotics surgery models of diseases of interest using multimodal medical data, consisting of images
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, yielding negligible performance gains or even inducing catastrophic forgetting. To bridge the gap between theoretical AL and real-world deployment, this PhD project will develop resilient active learning
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these issues is critical for building trustworthy multimodal AI systems. Research Objectives The goal of this PhD project is to develop scalable Bayesian uncertainty estimation frameworks for single- and multi
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, financial management, staff leadership and organisational development are essential, along with highly developed analytical, communication and stakeholder engagement skills. If you are seeking a senior
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The United Nations Development Programme has identified access to information as an essential element to support poverty eradication. People living in poverty are often unable to access information
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be considered for the Monash International Leadership Scholarship. As a scholarship recipient you will receive a 100% tuition sponsorship for the duration of your degree, and the opportunity to develop
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. You’ll ensure project deliverables are met on time and to a high standard. Working closely with the Group Manager Research and Graduate Research, you will develop project documentation, updates and reports
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the development of Explainable AI Systems that can provide explanations of AI agent decisions to human users. Past work on plan explanations primarily focused on explaining the correctness and validity of plans. In
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conflict, Jewish cultural studies and the modern Middle East. The role will support the Jewish Studies and the Holocaust and Genocide Studies minor through the development and delivery of lectures, seminars
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This project focuses on developing algorithms capable of automatically identifying and categorizing mobile ringtones. This involves leveraging machine learning techniques to analyze audio signals