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statistical / data science languages such as R or Python Experience working with geographic information systems Desirable Characteristics: Experience with building spatially explicit models, including
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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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funding of up to $25,000 to be spent over the term of their Fellowship, access to early career researcher support programs and mentoring, and lasting links to the global network of talented McKenzie Fellows
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powerhouse that fosters economic and social wellbeing through ground-breaking research and innovative teaching. You can learn more about Adelaide University HERE and more information will be provided
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the direction of A/Prof Claudia Szabo in the School of Computer and Mathematical Sciences at the University of Adelaide. The project is a collaboration with Defence Science and Technology Group, within the Combat
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microorganisms, using data from field and laboratory experiments that include functional trait measurements, plant and microbial physiological data, and genomic data. The aim of the project is to link
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computer vision and machine learning research group in Australia -- and contribute to world-leading research projects at the CommBank Centre for Foundational AI This postdoctoral research position is part of
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expertise in other areas, as well as be open to learning as the project develops. For further information, please view the information booklet. If you are unable to access this link, please email talent
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for this position by clicking on the 'Apply' link at the top of this page. For further information about this position, contact Professor Joanne Tipper, Associate Deputy Vice-Chancellor (Academic) at joanne.tipper
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ongoing). In this role you will collate and link data from sources such as the Victorian Road Crash Database, National Coronial Information System, and Victoria Police. Your work will support