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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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as a scientist-practitioner informing government-based research and policy. The findings of this research program will inform the development of national cancer prevention initiatives, while training a
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interested in connecting spatial and spectral information to understand complex materials systems at the molecular level with machine learning. PhD Student A will work with tumour sections to develop multiple
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scholarship (a university research training program, NHMRC scholarship or equivalent). Tour de Cure Grant Guidelines Application process Apply for a grant | Drive your research forward with funds from Tour de