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of the Paralana Fault Zone in South Australia’s Flinders Ranges, these field-based PhD projects will address the following research questions: What are the relative contributions of radiolysis and serpentinization
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: What roles might advancing technologies, such as artificial intelligence, mixed reality displays, context-aware prompts, or embedded feedback, play in supporting diagnostic imaging workflows? Error
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for tomagraphic imaging in tissue Neural network correction of distortions in acoustic transducers web page For further details or alternative project arrangements, please contact: alexis.bishop@monash.edu.
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flow models, providing a reliable and efficient approach to designing photobioreactors with reduced trial-and-error efforts while increasing confidence in their performance. By optimising microalgae
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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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code, but adapting natural gas pipelines for hydrogen transport may require significant derating to compensate for increased risk factors. Aims This project aims to develop internal pipe coatings
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Autonomous methods for fault or anomaly detection and classification of PV plants with high accuracy are necessary for the monitoring of large-size PV power plants. Objectives also include other
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Scholarship code: SRS-25032 This scholarship has been established thanks to the generosity and vision of the late Mr Anastassios Vassilogianis, benefactor of La Trobe University's Greek Studies
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delivery applications. We are growing the group to comprise around six postdoctoral staff and six PhD students, forming a highly supportive and talented daily workplace. We regularly utilize large scale
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of underwater acoustic environment or low signal-to-noise environment. We will develop more effective deep learning to increase data communication speed and reduce error probabilities. The project aims