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interest Expressions of interest should be submitted to Prof David Lewis and and A/Prof Phil van Eyk (david.lewis@adelaide.edu.au and philip.vaneyk@adelaide.edu.au ) and the position will be open until
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equivalent to RTPS (for domestic students) and UARS (for international students). Please refer below links for the terms and conditions of RTPS and UARS. Domestic: Australian Government Research Training
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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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projects (all projects are available to students enrolling at the University of Adelaide, RMIT or the University of Queensland, as stated for each Project): Project 1.1. Chip based quantum position
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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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1/10/2025 with the name of scholarship in the subject heading. Applications will be assessed as and when received and the PhD position may be filled ahead of this date if the suitable candidate is
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arts) as long as the research has the potential to deliver a positive environmental outcome. Continuance of the award is dependent on the successful candidate remaining enrolled on a full-time basis
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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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an area aligned with the proposed research internship project More information about University of Adelaide's Research Internships is available here . Application Process: To apply, please email the
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statistical competence in quantitative methods. They will have a demonstrated ability to work independently and to appropriately manage sensitive and confidential information. Responsibilities may include