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The PhD candidate will gain intensive knowledge in innovative processing protocols for chemical sensing and to develop data acquisition system with the Machine Learning (ML) and/or Deep Learning (DL
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This scholarship is jointly funded by a leading computer vision company in Australia and the STEM College of RMIT University. The research includes investigation into automated product quality
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herbicide and antimicrobial resistance that threatens the global agricultural and health industries. This exciting project will draw on parallels with drug resistance to investigate a new molecular mechanism
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geometric flows and apply them to understand long term behaviour of these processes. The new methods will contribute to the theory of nonlinear partial differential equations, enable the application
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Ben Boyd and has a focus on understanding the impact of structure in materials on their processing by the body, with a view to understanding the link between structure and function in drug and nutrient
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recycling: Project 1 (2 PhD students): Development and optimisation of DES battery recycling process - These projects aim to improve the DES-based battery recycling processes, focusing on investigating
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Software testing is a crucial phase of the Software Engineering process, often accounting for a significant portion of project budgets due to the effort required for manual test generation
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are encouraged to apply. The applicant will need to meet the minimum eligibility criteria for admission. Application Procedure Interested applicants should email an expression of interest with the following
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of generative AI. Essential Skills and Experience A background in a relevant field such as behavioural science, cognitive science, data science, psychology, human-computer interaction, law, or a related
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on mechanical and physical separation methods for efficient recovery of active materials and components from spent LFP cells as well as development of hydrothermal relithiation processes to restore