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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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for a particular project prior to the listed closing date. Furthermore, if shortlisted, a meeting is likely to be organised between the student, their supervisor and the organisation's focal contact
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science technologies, and this is a perfect training opportunity for those who is interested in machine learning, data mining, artificial intelligence, and bioinformatics. High-performance computing may
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Foundation Program including specialist training and development, and the opportunity to undertake a 12-month industry placement. Eligibility You need to meet the entry requirements for QUT's Doctor
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of representatives listed below. Graduate Research Office will notify all applicants of the outcome. Required Documents The awardee will be required to provide: A thank you letter to the donor upon receipt
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rationale why you want to join this research project via the HDR Expression of Interest form to the project lead researcher, listed below. Enrolment Requirements You must be enrolled in a Higher Degree by
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systems, tephrochronology, and Quaternary geochronology. These tools will be applied, for example, to study the dynamics of active caldera complexes (e.g., Toba in Indonesia and/or Cerro Blanco in Argentina
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controlled environment. The candidate will be supervised by ARC Laureate Fellow Professor Hongxia Wang, and they will have the opportunity to engage in a dynamic environment with members of the solar cells
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the IMPACT program, with the overall objective of improving staff outcomes and providing evidence-based, supportive care to children and adolescents. The IMPACT Program is a flexible capacity building program
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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...