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treated differently, and whether the current arrangements are optimal or could be improved. Documenting cumulative Adelaide Park Lands losses, over time For a student interested in local history, heritage
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-users interact with infrastructure and the built environment, improve diagnosis of risks and reduce the time required for maintenance, optimize the infrastructure performance, support information-driven
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contributing to final layer predictions. • Objective 3: Non-convex Optimization and Local Minima -- Study the theoretical foundations and empirical behaviors of deep neural networks in the context of non-convex
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determine optimal operating conditions through iterative testing and experimentation. Through this Project, Tronox aims to demonstrate its commitment to sustainable development, resource efficiency, support
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. This process operates under ambient conditions, utilises water as a hydrogen source, and is powered by renewable electricity. Recent advances in electrocatalyst design – enabled by operando spectroscopic
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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fee-relief scholarship for up to four years. opportunities to work with La Trobe’s outstanding researchers in state-of-the-art laboratories and have access to our suite of professional development
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years of your doctoral studies. As the scholarship recipient, you will have the opportunity to work with a team of leading researchers, to undertake your own innovative research in and across the field
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• Strong quantitative and programming skills; experience with seismic data analysis or numerical modelling is highly desirable• Excellent written and verbal communication skills• Ability to work
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record in a real-world environment. We see internships as a catalyst for innovation within the organisation. As such, you'll be involved in both operational and exploratory tasks. Your internship will be a