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: Using big data insights to optimise the manufacturing process The second phase of this project will focus on processing and utilising machine-learning techniques to analyse large volumes of data from
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large organisation with a diverse and talented community; a community doing extraordinary things. But what makes us different isn’t only what we do, it’s how we do it. Together, we are driven to be
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Health to work on a large multi-organisation project called Development of a Soil Health Framework for Australian agricultural production systems which is funded by the Grains Research & Development
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point of contact Experience working with Global Burden of Disease (GBD) Study data with successful publications utilising this data Experience designing and creating self-help tools for people who suffer
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+ Leave Loading Location: UNSW Kensington Campus About UNSW: UNSW isn’t like other places you’ve worked. Yes, we’re a large organisation with a diverse and talented community, a community doing
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. The successful candidate will join Patrick Burr’s diverse and multicultural research group and collaborate with the HB-11 Energy research team, also located in Sydney. For more information on the research group
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-based transient assays, or high-throughput reporter/construct screening systems. Competence in computational analysis of large-scale genomic datasets, including proficiency in relevant programming