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Slag Impact on Electrolyte Behaviour: Understand how slag affects electrolyte behaviour in long-term electrolysis operations. Evaluating Slag’s Effect on Iron Purity:Define how slag influences the purity
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of learnt features in deep neural networks. Specifically, we aim to: • Develop methodologies to interpret and visualize the features learnt by neural networks in a human-understandable manner. • Investigate
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effective digital platform for analyzing, visualising and interpreting the condition of civil engineering structures. The digital twin models are created to represent the state and behaviour of structures in
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the effectiveness of these personalized nutrition strategies in real-world settings. Outcomes will include improved postprandial glucose control, enhanced dietary adherence, and practical insights into individualized
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Scholarship. When will I know the outcome? Successful candidates will be advised of the outcome of their application by the end of January of each year. Submit an application Status: Open for applications
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Personal Statement addressing the impact this travel will have on your study andyour thesis When will I know the outcome? Round 1 (Jan-March applications): May-July Round 2 (June-August applications
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jsala@unimelb.edu.au When will I know the outcome? Applicants will be notified of the outcome of their submission by email within 8 weeks of the closing date. Status: Not open yet Applications open: 8 Aug
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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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This project aims to develop outcome measures for early detection of neurodegenerative disorders using artificial intelligence (AI) and various sensing modalities, offering personalised support to
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efforts; amplify Indigenous and community voices; and shape policies that are not only effective, but just and inclusive. By bridging knowledge systems and fostering creative public engagement, HASS