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methods, including causal econometric analysis and predictive economic modelling, to assess the economic and distributional impacts of policy interventions across healthcare and disability service systems
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practices in professional physics and students' engagement in these practices The role of agency in students learning physics practice A mixed-method, longitudinal study on factors related to retention in
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challenge is to create disentangled representations for paralinguistic information and the content of speech. Herein, a component of such a disentangled representation contains only necessary information
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resources to avoid downtime, adjusting dynamically as traffic fluctuates. For researchers and students, this component focuses on developing ML models to predict resource needs, improving load distribution
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release, and awards. Using quantitative data analysis methods, the project aims to identify patterns and factors associated with successful film outcomes. This minor thesis is suitable for students
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, the selection committee will prioritise applicants who hold an Australian (or equivalent international) Honours or Master’s degree in a relevant field, with a significant research component and first-class
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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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. To Apply For instructions on how to apply, please refer to 'How to apply for Monash Jobs '. Please ensure your cover letter considers the most important elements of the Key Selection Criteria of the position
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the brain, as well as the latest AI methods and examine what if any consciousness current AI methods might have and how we might define whether an AI is conscious based on what we know about consciousness in
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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