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. Machine learning has been found to introduce and perpetuate discriminatory practices by unintentionally encoding existing human biases and introducing new ones. In this project, we will develop automated
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this project, we will develop automated approach to detect the defects in AI systems, including LLMs, auto-driving systems, etc. Required knowledge - self-motivated, willing to spend time and efforts in research
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Markov Decision Processes (MDPs) are frameworks used to model decision-making in situations where outcomes are partly random and partly under the control of a decision maker. While small MDPs
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will study the development, adoption, and implications of digital technology and insurance—such as tools for capturing individualised data about behavioural risk factors and automating enforcement
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#1 Chemical Engineering Department at Monash University and be part of a pioneering research initiative at the intersection of materials science, automation, and artificial intelligence. As a
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PhD student(s) will join a vibrant team of postdocs, academics, and up to four PhD students working collaboratively across modelling, qualitative fieldwork, and optimisation techniques. PhD Research
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leadership, fostering a culture of excellence, collaboration, innovation, and continuous improvement. You will also drive service optimisation, automation and AI enablement across infrastructure platforms
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Designing Secure and Privacy-Enhancing Frameworks for Digital Education Credentials Testing AI/LLM systems Automated software testing and debugging with/without LLMs Using AI and machine learning to improve
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continuous improvements and automation of business practices and tools, including drafting specifications to support enhancements Maintaining the Callista system with regular patching, testing and
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Diabetes can be effectively controlled by maintaining a healthy diet, well-managed blood glucose level and regular physical activity. Evidence suggests that improving dietary habits can play a