336 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" "St" uni jobs at Monash University
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to real-life data. The goal is to generate new knowledge in the field of time series anomaly detection [1,2] through the invention of methods that effectively learn to generalise patterns of normal from
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In SmartScaleSys (S3), we aim to design and build resource management solutions to learn from usage patterns, predict future needs, and allocate resources to minimize latency, energy consumption
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Statistical Methods, Automated Planning and/or Reinforcement Learning.
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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
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range of stakeholders and negotiate positive outcomes to complex issues. You will also have highly developed computer literacy, including experience with business and design software, with proficiency in
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‘dynamic graphs’. Although recently many studies on extending deep learning approaches for graph data have emerged, there is still a research gap on extending deep learning approaches for identifying
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demonstrate strong analytical and problem-solving capabilities, alongside well-developed written and verbal communication skills to engage effectively with diverse stakeholders. High computer literacy
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principles and safe work practices. High-level computer literacy and the ability to quickly learn and adapt to new systems. About Monash University At Monash , work feels different. There’s a sense of
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support committees, coordinate meetings, and ensure smooth operations, while demonstrating advanced computer literacy in systems such as TRIM and Visio. About Monash University At Monash , work feels
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. This rewarding role involves facilitating tutorials, contributing to assessment and grading activities, and supporting an engaging, practice-oriented learning environment for students. We are seeking candidates