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data requirements, and lower costs for large-scale modelling tasks. PINNs enhance predictive capabilities and efficiency by combining data-driven methods with physical principles. Unlike traditional
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for application dates and more information on how to apply. Enquiries: For further information about the scholarship, contact the Adelaide Graduate Research School via research.scholarships@adelaide.edu.au
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15 June 2025. Outcomes will be provided from mid-July 2025. Enquiries: Contact the Research Scholarships team via email research.scholarships@adelaide.edu.au for more information.
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. Enquiries Contact the Research Scholarships team via email research.scholarships@adelaide.edu.au for more information.
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of better prevention and public health policies in rural and remote areas. This position will contribute to the design of qualitative research components, coordinate qualitative data collection from rural
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seismic data to produce 3D geophysical models that will constrain the subsurface extent of rock units that might be suitable for hydrogen generation via radiolysis and/or serpentinization and identify
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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
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(more information to come). Eligibility: Applicants must be accepted for admission into a Doctor of Philosophy at the University of Adelaide and enrolling in one of the 6 approved PhD projects in
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research.scholarships@adelaide.edu.au for more information.
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will provide high quality data comprising images, text, and detailed locational information for 667 names/toponyms given to localities on the Australian coast by d’Entrecasteaux and Baudin. The expected