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for an outstanding PhD candidate to undertake an Industry Linked PhD at Monash University in collaboration with Aervision Pty Ltd , an Australian AI company developing advanced video analytics solutions for critical
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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors
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tissues or reveal micro- or nano-structural features, like the small air sacs in lungs. To overcome these limitations, alternative X-ray imaging methods have been developed: X-ray phase-contrast and dark
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materials and we utilise these non-absorbed X-rays to massively increase image contrast and reduce radiation exposure using coherent synchrotron radiation. We have developed these “phase contrast” and “dark
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Economics” supported by CHE’s Global and Environmental Health Economics Research Theme. Potential research areas include: Aid effectiveness and locally led development Health care financing and universal
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I work on the study of massive and supermassive stars (10-100,000 solar masses); the first generations of stars in the universe (Pop III stars); evolution of rotating massive stars and the spin
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the evolution of massive binary stars into compact binaries as sources of gravitational-waves and astrophysical inference on gravitational-wave observations. My research group on massive binary evolution -- also
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are seeking a PhD candidate to develop advanced in situ X-ray characterisation and machine-learning-enabled processing intelligence for green metals transformation. The project will focus on capturing time
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Work Disability Benefit Systems for Contemporary Australian Society. The program comprises three interconnected streams: Program 1 identifies how work disability develops through a national cohort study
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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