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automation. This role is responsible for high level and detailed reporting on curriculum data for various audiences including senior management. You’ll have a strong background in data analytics with
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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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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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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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/ human understanding Enhancing learner feedback literacy using AI-powered feedback analytics Enhancing SOC Efficiency: Automated Attack Investigation to Combat Alert Fatigue Uncertainty quantification
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sophisticated AI models for high performance computing (HPC) environments, implementing distributed training strategies and performance tuning at scale Lead development of automated MLOps pipelines using
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of the control of the model owners. They can be easily stolen or abused if not properly protected. A recent empirical study [1] has demonstrated that half of on-device ML models are stored in plaintext form
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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
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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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their performance both empirically and through controlled user studies. Required knowledge Strong background in computer science in general Familiarity and understanding of basic principles underlying automated