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a digital format. Computer visions techniques have been recently developed for structural health monitoring of civil structures, including vibration displacement measurements, crack detection and
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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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Status: Open Applications open: 5/09/2024 Applications close: 31/12/2025 View printable version [.pdf] About this scholarship Description/Applicant information This scholarship is funded by CSIRO
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experienced supervisors, each with over 20 years of expertise in machine learning and computer vision. These supervisors have strong track records of research excellence, with numerous publications in top-tier
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enrolments. Enquiries Dr. Ammar Al Helal Eamil:Ammar.alhelal@curtin.edu.au Phone No. 0892664068 Scholarships Email Alert Sign up now
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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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children. Mechanistic modelling of disease transmission involves the use of computer code to represent the epidemic dynamics of infectious disease spread within the community. This allows modellers
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scholarship is offered annually by the Minerals Research Institute of Western Australia (MRIWA) to encourage and enable a student of exceptional research promise to undertake a PhD degree in any discipline
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chemical strategies to generate and detect chirality is the adsorption of chiral coatings onto achiral surfaces. As such coatings are generally poor conductors of electricity, this strategy has had limited
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barrier—is disrupted in these conditions, how such dysfunction impairs drug delivery, and whether restoring vascular integrity can improve outcomes. This research is part of an NHMRC-funded Investigator