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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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A research-only academic is expected to contribute to the University’s research effort while developing their research expertise through the pursuit of defined research projects relevant
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the project’s cross-cutting computational and bioanalytical objectives and will involve developing a data base to record and access clinical data from a wide variety of animal species and also to develop a
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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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the power of LLMs to develop advanced computational methods for the detection and mitigation of misinformation and disinformation. More specific objectives are: To investigate the effectiveness of large
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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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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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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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Research Fellow for a 12-month, research-only appointment. A Level A Research Fellow is expected to contribute to the University’s research effort while developing their own research expertise through