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the leadership of Professor Rhiannon Owen. The Population Data Science group is home to leading researchers, data scientists and statisticians who focus on making the best use of large-scale multi-dimensional data
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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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to groundbreaking studies in Australia and Lao PDR, developing your expertise in life cycle assessment, soil science, and big data analytics. This role offers you the chance to directly impact global food security
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, multi-modal data integration, and large-scale clinical and community-based research. Postdoctoral researchers will conduct data analysis, prepare and submit first-author manuscripts for peer-reviewed
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molecular and phenotype data. Including code that is production-ready for dissemination to other laboratories and for diagnostic use, and the management of large-scale data. They will join a team of
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, including hybrid physics-informed approaches, to improve the estimation, monitoring and prediction of hydrological variables. Big data integration: Process and fuse multi-terabyte datasets, including
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associate to work with Professor Christopher Kuzawa at Harvard University. The postdoc will oversee analysis and write up of an extensive longitudinal dataset that has followed a large population in Cebu
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, and statisticians—on projects that bridge methods, policy, and practice. This role will involve intensive analysis of claims data and related large administrative datasets to support policy-relevant
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. • Plan and execute experiments; analyse and interpret research findings and large-scale biological data (e.g., genomic, transcriptomic, microbiome) and familiarity with following analyses – sc
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. • Plan and execute experiments; analyse and interpret research findings and large-scale biological data (e.g., genomic, transcriptomic, microbiome) and familiarity with following analyses – sc