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financial barriers to achieving theoretically optimal city sizes using qualitative methods, including stakeholder interviews and policy analysis. Integrating Theory into Dynamic Models Embed the sustainable
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copy of your Australian passport or birth certificate (if born in Australia), or a certified copy of your Australian passport, Australian Permanent Resident Visa or Australian/New Zealand
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) and computer simulation (FEA) Experience in material characterisation and experimental testings Knowledge in impact dynamics Passionate and have interest in pursuing PhD degree. Experience in research
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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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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proposed principal supervisor, and copy the link to this scholarship website into question 2 of the financial details section. About the scholarship This project investigates how 21st-century media changes
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Documents Original or certified copies of your academic transcripts and certificates A certified copy of your Australian passport or birth certificate (if born in Australia), or a certified copy of
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acute pathology. The development of such a molecular imaging probe for direct and sensitive detection of fibrosis during the early stages of pathology would represent a true breakthrough in the field
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numerical modelling framework to simulate how light and heat interact with the target body tissue, while also incorporating neural signalling dynamics to explore how light-based stimulation affects
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-based materials,[ 3 - 11] non-Cu metals and alloys,[ 12 - 16] and molecular catalysts such as cobalt phthalocyanines.[ 17 - 20] Despite these scientific breakthroughs, most current electrolysis systems