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monitoring the recovery of these critical but endangered species and ecosystem. A cohort of PhD projects have been developed to achieve high-impact outcomes for bird recovery across the MLR in three priority
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clinicians and community members, and contribute to the analysis, interpretation and reporting of study findings, as well as to the design of the intervention involving pharmacists and rural health staff. As
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the following skills and qualifications (tailored to the specific project): Driven individuals who want to be a part of a world class team Some familiarity in healthcare or engineering/image based analysis
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in winemaking and viticulture supported by knowledge of plant nutrition and its role in grape and wine quality. Proficiency in statistical analysis and familiarity with research methodologies
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of potential options for implementation. This will include prototyping and testing of various implementation options, analysis and documentation of results. Project 2 - Future Power System Modelling: As part of
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student must commence studies in Adelaide as soon as possible and no later than 31 December 2025. The Ph.D. project explores a critical area of research focusing the redesign the supply chain to effectively
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critical areas of research, but not limited to: Exploring potential policy levers to ensure maximum benefit for Australian and South Australian manufacturers from the opportunities in the renewables supply
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(greg.metha@adelaide.edu.au ) Research: Market Analysis and Macroeconomic Impact of a Hydrogen Economy The Global Hydrogen Production Technologies (HyPT) Center is funded by CSIRO to support 2 x full-time PhD
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to undertake research in the field(s) of Product Development and Artificial Intelligence, Sustainable Building Practices, and Data Analysis. The nature of the research and development activities for the research
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to undertake research and development activities in the areas identified below: State level climate vulnerability assessment for SA Aquatic Ecosystems (climate change/water) Analysis of rainfall data to identify