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and the role of key architecture components can lead to the development of more efficient and robust training algorithms. This can ultimately result in AI systems that are both more powerful and
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future autonomous instrument control and self-directed experimentation will be developed, recognizing the challenge presented by the integration of multiple complex systems. Coding and user interface
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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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drainage during droughts, and coastal floodplain development often trigger geochemical reactions that generate highly acidic waters enriched in dissolved aluminium. Elevated aluminium concentrations pose a
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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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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors
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This project aims to develop novel catalysts and reaction systems for energy-efficient electrochemical conversion of captured CO2 into liquid fuels. Electrochemical Conversion of Captured CO
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Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
to these various dangers, to inform the design of, and test, mathematical models that will be generally applicable across a larger cross-section of important species of bacteria. Modelling Evolution – Predicting
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North Queensland. Research projects are developed in collaboration between the successful applicant and their supervisor, and potential topics include: deep Earth structures, crustal mineralisation
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personal experience, but typically a 2XE internship is centred on advancing data analysis and developing tools for deploying transformative technologies within the renewable and smart energy sectors