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-time, internal student (unless approval for part-time and/or external study is obtained) have a background in: control engineering computer science municipal and environmental engineering a related field
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spectroscopy and Gaia data of star clusters to decipher the mystery of the Lithium-rich giant stars" (with Prof John Lattanzio) "The origin of the heavy elements: Computer simulations of neutron-capture
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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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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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adaptable program design principles that assist providers to intentionally address holistic outcomes across physical, psychological, social, and cognitive domains. Finally, the project will pilot and evaluate
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discipline) Science or applied science Mathematics or data science Computer science Environmental or sustainability studies Design, manufacturing, or technology fields Applicants should demonstrate: A strong
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addition to meeting the eligibility requirements of the CSIRO Industry PhD Program. The university undertakes student eligibility checking against university PhD admission criteria. To be eligible for a CSIRO Industry
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field” imaging techniques to solve many important problems in biology and change clinical practice in respiratory medicine. Our ongoing research program involves developing new imaging technologies
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analytical imaging methods, then working with collaborators to apply these methods to biomedical research, diagnostic imaging and beyond. Research projects vary from purely theoretical, to computational
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project within an NHMRC-funded program focused on dementia research. Using a systems biology framework, the project will integrate genomic and lifestyle data to identify key molecular pathways and risk