15 data-"https:"-"https:"-"https:"-"https:"-"Kiel-University" PhD positions at University of Adelaide
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priorities. This may include: Supporting the design and implementation of community-led research projects. Conducting literature reviews and environmental scans. Assisting with data collection, analysis, and
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Acknowledgement of Akuru collaboration in all outputs. Governance & Ethics Projects involving patient or staff data will require ethics approval and must comply with University of Adelaide, SA Health, and partner
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@adelaide.edu.au), for further information. Please note that applications will be shortlisted on a rolling basis, and the scholarship advertisement will be withdrawn when a suitable candidate is identified.
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powerhouse that fosters economic and social wellbeing through ground-breaking research and innovative teaching. You can learn more about Adelaide University HERE and more information will be provided
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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
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samples for encapsulation studies Maintain exceptional accuracy in data recording, analysis, and reporting Contribute to experimental design and troubleshooting with high attention to detail Present
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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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tracking blood glucose responses to meals and lifestyle factors, the project will identify individual patterns and predictors of glucose variability. Using this detailed data, tailored dietary
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influence motor system function and learning in healthy people of different ages. This cutting-edge approach will provide new information on the neurophysiological basis of synchronised brain oscillations and
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Statistics for the Australian Grains Industry 3 (SAGI3). Investment. The University of Adelaide, in collaboration with Curtin University and The University of Queensland, is leveraging machine learning, data