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an ARC Linkage Project focused on developing an autonomous system for detecting and quantifying structural damage in infrastructures (e.g., bridges, grain silos) using computer vision, digital twins, and
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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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-year research project on generative AI and academic research develop a research proposal that responds to and aligns with the scholarship topic and articulates the contribution your research will make
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Zhongzheng Wang as your proposed principal supervisor, and copy the link to this scholarship web page into question two of the Financial Details section. About the scholarship Background Two PhD positions
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for longer. Qualifications and experience required Experience in the field of dementia and/or neuropsychology Excellent written communication and verbal communication skills with proven ability to prepare and
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through advanced analytics. This five-year initiative (2023-2027) is mainly funded by the Grains Research and Development Corporation (GRDC) with a $36 million investment and builds on the previous
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, nominate Dr Andrew Stephens as your proposed principal supervisor, and copy the link to this scholarship web page into question two of the financial details section. About the scholarship This PhD project
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can occur that are very different to the macroscopic world. Our group develops methods to measure and ‘see’ this atomic detail using some of the world’s most powerful electron microscopes. We apply
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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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LHCb experiment Searching for matter-antimatter differences in charm hadron decays Developing new probes to characterise proton-proton collisions web page For further details or alternative project