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academic research, conducting high-impact research in areas such as artificial intelligence, machine learning, cyber security, data science, software engineering. This role will also be required
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Explainable AI or XAI is essential. We will use a variety of XAI methods, such as Grad-CAM, and others. This project will involve a lot of experiments using DL/AI methods. We will use the Monash High
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This Masters or PhD project aims to explain the uncertainty of Machine Learning (ML) predictions. To this effect, we must quantify uncertainty, devise algorithms that explain ML predictions and
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possible through the philanthropic support of the Narodowski Investment Trust. The following 6 scholarships will be awarded each year: Alex Raydon PhD Scholarship Alex Raydon and Nina Narodowski PhD
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We are seeking a motivated PhD candidate to work on unsupervised music emotion tagging within the broader field of affective computing. The project aims to develop reproducible machine learning
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. Recent works on knowledge graph question generation [4,5] have mainly focussed on multi-hop questions. This project aims at developing novel methods that jointly address the challenging, dual problem
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, the developed methods can help identify emerging trends and patterns in rhetoric or planning activities, allowing for timely intervention by authorities. These monitoring systems are essential for public safety
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ecosystem interactions. If used wisely for decision-support, these technologies can help select and implement effective policies. This PhD project, jointly offered by Monash University (Australia) and
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nutritional data into a user-friendly platform, enabling consumers, restaurants, and policymakers to make informed food choices and reduce diet-related emissions. Required knowledge Data analytics and software
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This Ph.D. project aims to combine causal analysis with deep learning for mental health support. As deep learning is vulnerable to spurious correlations, novel causal discovery and inference methods