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the VR viewer's point of view, and manually coding VR events and the participant behavioural response. This project focuses on automating this process through the training of AI models to detect
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Large language models increasingly adapt using external feedback to alter inference-time behaviour, persistent state or model parameters. However, the signals that drive these changes may be noisy
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for Parbinata in the Student Experience portfolio As the successful candidate you will be a liaison point between the project team, wider portfolio, university and internal and external client groups, and work
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requirements, including English-language proficiency skills, to undertake a PhD in the Faculty of Arts are available at https://arts.monash.edu/graduate-research/application-process/ . Applicants should ensure
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act as the senior escalation point during major cyber incidents, providing coordination, communication, and executive-level decision support. At the same time, you will own the end-to-end performance
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project management, stakeholder collaboration and a deep understanding of what drives audience engagement. You’ll also be a central liaison point between the Campus Experience and Major Events team
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the development of project documentation, reports, briefings and presentations. This role will also act as a key liaison point for project progress and objectives, providing sound and timely advice
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This project involves the automated generation of textual descriptions for audio content, such as spoken language, sound events, or music. This process typically employs deep learning techniques
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requirements, including English-language proficiency skills, to undertake a PhD in the Faculty of Arts are available at arts.monash.edu/graduate-research/application-process/ . Applicants should ensure
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while inferring underlying physiological changes. Required knowledge Machine learning, dynamical systems theory, control theory, signal processing, time series analysis, neuroscience are all relevant and