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approach to individual program design and diligent and proactive supervision of the Fitness Centre. At Peninsula campus you will also be required to provide a high level of customer service across a wide
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Research Software and Systems Engineer Job No.: 674337 Location: Clayton campus Employment Type: Full-time Duration: 2 year fixed-term appointment Remuneration: $103,178 - $113,167 pa HEW Level 07 (plus 17% employer superannuation) Amplify your impact at a world top 50 University Join our...
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Technologist is expected to maintain up-to-date specialist knowledge of new and innovative methodology, equipment, technology, data management and analysis. The role will work closely with management in
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Project Coordinator (Psychology) Job No.: 677952 Location: Clayton campus Employment Type: Part-time, fraction (0.4) Duration: 12-month fixed-term appointment Remuneration: Pro rata of $80,603 - $92,585 pa HEW Level 05 (plus 17% employer superannuation) Amplify your impact at a world top 50...
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healthcare, finance, environmental monitoring, and beyond. While recent advancements in foundation models have shown tremendous success in NLP and computer vision, the unique characteristics of time series
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explore current techniques such as fine-tuning, model alignment, prompt engineering and Retrieval Augmented Generation (RAG) to improve reliability of generated recommendations for two cases of chronic
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that are constructed in a way that is inspired by what we know about self-awareness circuits in the brain and the field of self-aware computing. The project will advanced state of the art AI for NLP or vision or both
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of Information Technology is seeking a Level A Research Fellow to join the Department of Data Science and Artificial Intelligence (DSAI). This role offers an exciting opportunity to contribute to cutting-edge research
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The detection of human activities is crucial for effective monitoring purposes. The challenge lies in accurately and promptly identifying various types of activities from videos and images captured in diverse, real-world environments. Both classical machine learning methods and deep learning...
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In collaboration with people from Monash materials engineering, neuroscience and biochemistry we are developing living AI networks where neurons in a dish are grown to form biological neural