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systems and uncover insights that can be applied to design more robust and interpretable deep learning systems. Aims This project is designed to unravel the intricate learning dynamics and the nature
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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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available in the Centre of Infrastructural Monitoring and Protection (CIMP), School of Civil and Mechanical Engineering at Curtin University, Australia. The successful candidate will work with Dr Haoran Zuo
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networks. C2 research that better reflects the rich dynamics and complexities that occur in real-world contexts has the potential to result in major benefits for many sociotechnical systems. Therefore
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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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publications and research experiences in structural dynamics and structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data
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earthquake, will be investigated through a combination of experimental, numerical, and analytical studies. This scholarship application is open until filled. Student type Future Students Faculties and centres
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underwater communications is necessary. Conventional approaches in underwater communications only develop fixed models based on human knowledge or understanding which cannot fully cover the highly dynamic and
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Vision and Edge Computing'. PhD candidates involved in this project will be trained in the emerging field of smart infrastructure, which is critical for Australian society in the coming decade
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from an online group. Gen Z, being digital native, is more vulnerable to social media addiction and cyberbullying than any other age cohort. Increased use of social media during the pandemic has seen a