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of microbial solvent extracts, fractions and pure natural products. Undertake large scale microbial cultivation to produce, and use semi-preparative and preparative scale chromatography (HPLC, SPE, GEL
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! Key responsibilities will include: Research: Support large-scale cognitive neuroscience research on brain stimulation, imaging, neurofeedback and neuropharmacology; develop a coherent research program
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fully resolved single-fracture simulations to large-scale discrete fracture network (DFN) upscaling. Your work will directly address high-value industry challenges in energy and resource systems. CML is
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of Carbon Dioxide (GETCO₂). At our Computational Multiphysics Laboratory (CML), we value innovation, collaboration, and technical excellence. You will benefit from access to large-scale high performance
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. The project, "Building the bridge from GWAS to Breeder through multi-omic network data fusion", focuses on transforming GWAS discoveries into actionable breeding insights. Using sorghum as a model, the work
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will include leading and undertaking quantitative data analyses, including working with large-scale longitudinal survey and administration data, to generate novel insights and contribute to high-quality
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of the plant population under study. Assist in the management of field trials and collection of samples from remote sites in Queensland. Manage large data sets and conducts analysis of data. Troubleshoot issues
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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