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value of AU$37,000 per annum (up to $47,000 per annum for outstanding students). Additional financial support is available through research and teaching assistance work. About the Program As a candidate
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motivation Testing whether the system performs equitably across cultural and language groups Training spans intervention design, trial methodology, human-computer interaction, and applied machine learning
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evolution, chemistry and morphology. This project will investigate how machine learning can learn physically meaningful representations directly from these data and help understand how materials evolve during
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research groups in the economic analysis of health and health care. We have the highest concentration of economists working in health in the Asia-Pacific region and the largest Health Economics PhD program
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Employment Type: Full-time Duration: 4-years Remuneration: $48,071 per annum (2026 rate) The Opportunities The project is under the CSIRO’s Industry PhD (iPhD) Program that brings together an industry partner
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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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the economic analysis of health and health care. It has the highest concentration of economists working in health in the Asia Pacific region and the largest Health Economics PhD program in Australia. As an
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the Monash AI Institute, this program brings together researchers from Monash Medicine, Nursing and Health Sciences, Monash Information Technology, Monash University Malaysia, and industry partners to develop
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to $47,000 per annum for outstanding students). Additional financial support is available through research and teaching assistance work. The opportunity The PhD research will be part of an Australian Research
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Research Degrees: 3291 - Doctor of Philosophy (PhD) 3292 - Master of Engineering Science (Research) E8011 - Industry Doctoral Program (IDP) Duration: Doctor of Philosophy (PhD) - 3.5-year fixed-term