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Status: Closed Applications open: 16/09/2024 Applications close: 31/10/2024 View printable version [.pdf] About this scholarship Description/Applicant information Forrest Research Foundation PhD
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deep learning, imaging and data analysis would be helpful for this project. Must be eligible to enrol in PhD programs at Curtin University. Application process Please send your CV, academic transcripts
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, the aim of this project is to develop and validate an experimental paradigm that can describe the dynamic processes underlying C2 agility and to characterise the situational factors by which C2 agility can
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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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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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on the fate of black holes in our Galaxy. Objectives To gain a full picture of the black hole population in our Galaxy, we aim to combine novel theoretical simulations of black holes with data from nascent
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vehicles capture videos or images for underwater pipes for inspection purposes. However, highly blurry or poor-quality videos can only be received under noisy environment. Therefore, developing accurate
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, research suggests that in Australia 48% of dementia cases could be prevented through actions to mitigate the seven risk factors addressed in this PhD. Aims The aim is to develop a new public health toolkit
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to apply: Seismic wave propagation theory; seismic data acquisition and processing; signal processing, seismic imaging, geophysical inversion, scientific programming, reservoir modelling. Previous research
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into electricity grids while maintaining grid stability. Project Description: This project aims to design and prototype a multi-port commercial scale converter for efficient grid integration of photovoltaic