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Time series are an ever growing form of data, generated by numerous types of sensors and automated processes. However, machine learning and deep learning methods for analysing time series are much
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guarantees of FL. In this project, we aim at an ambitious goal - designing secure and privacy-enhancing algorithms and framework for FL and applying our designs into real-world applications. To achieve
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formative assessment and personalised feedback while ensuring fairness, accountability, and transparency. The research will explore a combination of algorithmic design, human–AI interaction, and empirical
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and innovation catalyst, in this exciting project, you will develop novel algorithms to monitor and analyse workers' movements, detect harmful movement patterns, and implement simple intervention
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and thrive throughout their studies. We are seeking a dedicated Learning Adviser to join us in delivering programs and services that make a real difference to student success, progress and retention
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the construction of PRS and enhance disease prediction. Students will gain experience in: Statistical genetics and GWAS methodology Machine learning approaches for high-dimensional data Algorithm development and
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importantly, you'll bring a genuine love for animals and a collaborative mindset. At MARP, you'll enjoy a competitive salary, benefits and a supportive team environment where your work makes a difference. Apply
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learning, algorithms, and programming. Prior exposure to reinforcement learning or human-robot interaction is highly desirable, though motivated candidates with a strong grounding in AI/ML and willingness
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and networking abilities, will enable you to navigate complex environments with confidence and impact. About Monash University At Monash , work feels different. There’s a sense of belonging, from
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deliver IT-enabled business improvements aligned with strategic goals. About Monash University At Monash , work feels different. There’s a sense of belonging, from contributing to something groundbreaking