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include generating and analysing complex microbiome “omic” datasets to create an inventory of microbial genomes and lists of expressed metabolic features that are signature for the keystone microorganisms
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and addressing technical challenges in estimating rare, high-impact occurrences. Developing analytical tools for policy evaluation, including counterfactual analysis, forecasting, and network
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and addressing technical challenges in estimating rare, high-impact occurrences. Developing analytical tools for policy evaluation, including counterfactual analysis, forecasting, and network
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of high-quality, productivity-driven research networks across RMIT and with local and national, internal and external partners. You will be expected to engage in high quality research projects, to achieve
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: Contribute to developing networks and elevating public awareness of digital agricultural innovations through research dissemination and community engagement. You may be a great fit if: You are a passionate
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: Contribute to developing networks and elevating public awareness of digital agricultural innovations through research dissemination and community engagement. You may be a great fit if: You are a passionate
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maintaining, in a leadership capacity, productive strategic local, national, and international relationships, collaborations and networks with a range of stakeholders including industry, government and other
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one or more of the following areas: complex quantum processes, quantum error corrections, tensor networks, optimisation and machine learning, and developing software infrastructure Some experience in