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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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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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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
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These will help women be diagnosed earlier and get onto the correct treatment earlier as well, resulting in increased survival. These will help women be diagnosed earlier and get onto the correct
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be closed when the right PhD candidates are selected Application will be closed when the right PhD candidates are selected One (1) One (1) To be eligible for this scholarship you must: Have a Master by
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this scholarship, it is expected that the student will apply for competitive scholarships in the next RMIT PhD funding round. RMIT University reserves the right to refuse scholarship to a candidate judged not to be