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, the internal workings of deep neural networks remain largely mysterious, posing a significant challenge to the interpretability, reliability, and further advancement of these models. This project seeks deep
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flow models, providing a reliable and efficient approach to designing photobioreactors with reduced trial-and-error efforts while increasing confidence in their performance. By optimising microalgae
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electricity, industry, transport, and exports. CSIRO is playing a pivotal role in this shift, delivering reliable, evidence-based research to support the development of resilient and efficient energy systems
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reliability in digital environments. This research will involve collaboration with industry, policymakers, and community organisations, providing unique opportunities to develop impactful, real-world solutions
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are based on methods developed in bony fishes and are not always reliable when applied to shark cartilage. This research also challenges long-held assumptions by demonstrating that cartilaginous fish can
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the controls on the migration, accumulation and preservation of hydrogen in geological reservoirs. PhD Project 3: Structural and geomechanical characterisation of natural hydrogen systems This project will
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stable operation under reactive capture conditions. Unravelling reaction mechanisms and catalyst structure-performance relationships using advanced characterisation techniques and computational tools
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methods that could accelerate the commercial adoption of printed solar and enable its use on structures that can’t support conventional panels. This is an exciting opportunity to contribute to the next
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Status: Closed Applications open: 1/07/2024 Applications close: 18/08/2024 View printable version [.pdf] About this scholarship Description/Applicant information Project Overview A reliable
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biomineralization plays a critical role in biogeochemical cycling as well as has important environmental applications especially in the area of sustainable construction materials. But much of our knowledge in