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                CSIRO and Industry collaborator Intergrain, with the student primarily based at Curtin University (Perth, Western Australia). This project aims to develop innovative milling and separation methods to mill 
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                , create jobs, improve the sustainability of the health system and position WA as a leader in research and innovation. The Program contributes to the FHRI Fund Priority Goals: Support the development 
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                of the STAMP RSV Program, supported by the Stan Perron Charitable Foundation. The PhD candidate will play an important role in developing models of RSV transmission and vaccination efficacy to inform 
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                If you have any questions, please reach out the MRIWA Education and Workforce Program Telephone: 08-6180 4344 Email: scholarships@mriwa.wa.gov.au Web: www.mriwa.wa.gov.au/scholarship Scholarships Email 
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                and Development package of $13,000 per annum. In addition, this program offers: A 60-day Industry Engagement component with the industry partner (Gold Hydrogen Limited), and A structured professional 
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                -temperature performance. The PhD project will focus on the development, investigations and optimizations of new electrode and electrolyte materials. The project will expand the student’s skill set in scientific research 
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                align with the Aus-ROC CRE program of research, the focus could be clinical, epidemiology, public health, health services, psychosocial, linguistic or spatial analysis. Student type Current Students 
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                to its low volumetric energy density and substantial energy/economic demands associated with production, storage, and transportation of hydrogen. These challenges can be addressed by developing ammonia 
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                . Whilst 4Ds has consistently received very high satisfaction ratings, no studies have assessed its impact in a controlled trial. The 4Ds themselves refer to Distract, Dilute, Develop and Discover. Each 
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                an ARC Linkage Project focused on developing an autonomous system for detecting and quantifying structural damage in infrastructures (e.g., bridges, grain silos) using computer vision, digital twins, and