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The Training Centre for Current and Emergent Quantum Technologies is funded by the Australian Research Council to support 12 full time Higher Degree by Research (HDR) students who will undertake
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prediction, signal tracking, fluid dynamics, and space exploration. Advancing Signal Modelling with Physics-Informed Neural Networks This project aims to develop Physics Informed Neural Networks (PINNs
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the role of stress-controlled structural permeability in hydrogen migration. The project will also investigate the petrophysical and fluid-flow properties of fault rocks and interrogate paleo-episodes
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, current DES solvents show excellent performance only in selected batteries, and there are limited studies on their performance with mixed battery chemistries. This project aims to develop effective
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identified. Please ensure you include all of the following documents: Degree certificates (testamurs) Academic transcripts Translations of non-English documentation Evidence of current English
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hectares. In the 21st century, losses have become more frequent with a constant stream of large buildings taking over sites that were once Open Green Public land. A research industry internship have been
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published by the Society. The RGSSA will provide access to the two earlier histories as well as to a range of primary data spanning the 1986-2025 period including Council Minutes, Annual Reports, and Society
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this project have the potential to revolutionise strategies to preserve and restore the efficacy of current and future herbicides, with long-term social, economic, and environmental benefits arising from
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system (including frequency response of generators and UFLS) Studying various credible and non-credible power system faults and their impact on interconnector flows, power system frequency and generator
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ability to predict locust band movement. This project will focus on modelling the collective movement of locust hopper bands (thousands to millions of organisms). We will improve on current models through