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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 for tomagraphic imaging in tissue Neural network correction of distortions in acoustic transducers web...
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. The candidate will join a vibrant interdisciplinary research environment and have opportunities to engage with national and international collaborators, develop advanced mixed-methods skills (including
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-class honours (H1) Bachelor’s degree or equivalent in the relevant research area (completed or near completion) have applied for admission to a PhD program at an Australian university or have completed
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CSIRO IPhD Scholarship - Investigating the interactions between sulfide minerals and in-situ recovery fluids for sustainable copper mining The CSIRO Industry PhD Program (iPhD) is a four-year
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CSIRO IPhD Scholarship - AI-empowered visual recognition system for dairy cow identification, health and behaviour monitoring and detection The CSIRO Industry PhD Program (iPhD) is a four-year
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infancy is difficult. This PhD program aims at using state-of-the art multi-channel near infrared spectroscopy (NIRS) to assess the functional brain response of infants born preterm in long-term follow-up
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, or a New Zealand citizen. Meet participating university PhD admission requirements. Meet university English language requirements. Not have previously completed a PhD. Be able to commence the Program in
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What you'll receive The CSIRO Industry PhD Program (iPhD) aims to produce the next generation of innovation leaders with the skills to work at the interface of research and industry in Australia
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Metallurgy and Corrosion cluster, working within a multidisciplinary team spanning theory, advanced characterisation, and computational modelling. This environment provides an excellent platform for developing
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, computational modelling, and data-driven alloy design to: Understand the mechanisms of local austenite-to-ferrite transformation in low-alloy steels; Develop frameworks to predict and control