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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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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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combination of relevant knowledge, training and/or experience. Ability to support research grant and contract and budget development, including the ability to develop and apply expertise in current La Trobe
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; or an equivalent alternate combination of relevant knowledge, training and/or experience. Ability to support budget development (using the Costing and Pricing Tool) and monitor, review and streamline workflows
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ongoing improvement. The Research Development and Grants Team manages end-to-end pre-award support for competitive research funding, including ARC, NHMRC, MRFF, philanthropic, and other local and