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linked to the microbiome, metabolites and diet. This will include working with large datasets (e.g. proteomics, metabolomics and metagenomics) collected from a pregnancy-birth cohort of children at-risk of
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to carry out research in the field of plant breeding, phenotyping, crop modelling, GWAS and genome analysis, particularly in cereals Demonstrated capacity to manage and analyse large data sets. Track record
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temperature, flux rate, surface coverage, plasma composition and excitations. The seeding process of a new layer in heteroepitaxy requires large-scale surface modelling with accurate force-field parameters
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using statistical analysis. Experience in project management and working on field projects in the parenting field, and/or experience in working on large scale projects using administrative data. Relevant
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and build a strong emerging research profile in Information Retrieval, Natural Language Processing and Large Language Models, with a focus on transformative applications in the healthcare domain. At UQ