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                trauma-and-violence-informed care so that it becomes embedded across the health sector. This PhD project is funded by the NHMRC Centre of Research Excellence (CRE) RESTORE. The RESTORE CRE aims 
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                This Indigenous-led national research project evaluates a mailed-out smoking and vaping cessation intervention for Aboriginal and Torres Strait Islander adolescents and adults. Exciting PhD 
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                . The Opportunity This PhD scholarship is funded as an important part of an ARC funded projectThe Moral Significance of Being Human, conducted by Suzy Killmister. The project will explore three 
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                Grant Arts PhD Fieldwork Grant Application is required. Check eligibility Key scholarship details Application status Open for applications Benefit amount Up to $12,000 Eligible study level Graduate 
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                stimulation) and electrophysiology measures (electromyography, electroencephalography) will be highly beneficial. The PhD position is embedded within an excellent academic and research environment with a strong 
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                coalition, and is internationally recognized for excellence in research and teaching as one of the world's top 80 universities. Embedded in an ecosystem of health, academia and industry, it delivers 
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                University is a member of Australia’s Group of Eight coalition, and is internationally recognized for excellence in research and teaching as one of the world's top 80 universities. Embedded in an ecosystem 
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                to improve on-farm planning. The project is strongly industry-linked, with a clear pathway to applied outcomes. This project is offered through the prestigious CSIRO Industry PhD Program supported by an expert 
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                . The PhD candidate will be supervised by researchers at Curtin’s enAble Institute, School of Population Health, and the WACHS-Curtin Research and Innovation Alliance. The Alliance is embedded within the WA 
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                learning architecture for real-time underwater acoustic communication: State-of-the-art deep learning is not practical to be embedded with limited resources in real-time, since deep learning is cumbersome