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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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the development of numerical methods for astorphysical fluid dynamics and radiation transport. Projects may employ a range of approaches from analytic modelling and numerical calculations on desktop
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bridges and buildings by developing innovative, high performance protective columns. The proposed system features a composite column consisting of an outer Fibre Reinforced Polymer (FRP) tube, an inner
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domestic and international candidates for a fully funded PhD position in Civil Engineering focused on: Development of ultra-low carbon concrete systems Integration of biochar derived from organic waste
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: This is an opportunity for an outstanding PhD candidate with a background in architecture, urban design/planning, geography and/or co-design, and an interest in developing innovative new research exploring
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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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My research focusses on understanding stars: their evolution and chemical composition, and how they move throughout our galaxy. Most of what we know about the universe comes from starlight, but
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within the wider Initiative and contribute to shared activities, while developing and completing their own distinct PhD thesis. The PhD topic is open to negotiation within the Initiative’s aims and may use
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historical lens). The successful applicant will be embedded within the wider Initiative and contribute to shared activities, while developing and completing their own distinct PhD thesis. The precise PhD topic
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and Industry collaborator Kurloo Technology, with the student primarily based at Curtin University (Perth, Western Australia). The objective of this project is to develop and test new methods