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PhD Scholarship Opportunity - Unravelling Cancer Metabolite Recognition by T Cells Job No.: 698874 Employment Type: Full-time Duration: 3.5-year fixed-term appointment Location: Monash University
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fit. The candidate will co-design and evaluate an AI coaching system that uses wearable-derived physical activity and sleep data to generate personalised, just-in-time support, including scalable sleep
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recognition Individual and group behaviour understanding Long-term behaviour prediction Multi-task learning and foundation models Zero-shot and open-set recognition Privacy-preserving AI using anonymised human
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-depth qualitative evidence on how Australian adults experience these financial support systems. These insights will be utilised to co-design a navigation support model that can assist individuals in
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. The student will gain hands‑on experience with plasma science, reactor design, chemical analysis, and renewable‑energy technologies. It’s an opportunity to contribute to real‑world climate solutions while
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-assisted soft-mist inhaler. Integration and optimisation of zero-net-mass-flux synthetic jets using piezoelectric actuation, cavity and nozzle design, and electronic driver systems. High-speed imaging
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dynamics, and density functional theory (DFT) can be combined to accelerate the discovery and design of next-generation organic semiconductor materials with tailored optoelectronic properties. The project
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the Department of Materials Science and Engineering within the Faculty of Engineering, Monash University. We are seeking highly motivated PhD candidates to undertake research on the design and development of safe
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inform or design future experiments. As a researcher in my group, you would not only develop imaging theory and analysis tools to answer science questions about where the atoms are, what they are, and how
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Australian adults experience these financial support systems. These insights will be utilised to co-design a navigation support model that can assist individuals in accessing and engaging with these systems