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temporary migration influences pathways to long‑term settlement. Working with leading researchers across the Australian National University and the University of Western Australia, you’ll analyse large‑scale
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-supported research infrastructure. Our group develops computational and statistical methods for large-scale genomic, clinical, and phenotypic data and collaborates closely with partners in computer science
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analysing large and complex datasets, including multi-omics and perturbation-response data, with a strong emphasis on data quality, reproducibility, and biological interpretability. Practical experience in
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archives and databases. Ability to coordinate data collection tasks in the context of a large team recording the same kind of data for different cases. Comfortable with Microsoft Excel and Zoom. Preferred
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understand cancer biology, identify diagnostic and prognostic biomarkers, and improve cancer therapy. Projects will involve the development of AI solutions, particularly by leveraging large language and vision
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, and Advanced energy solutions. Topics extend from fundamental research to important applications. We educate future generations of research and development professionals, data specialists, technology
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for the second half of this exciting research project. Both roles are focused on the analysis and reporting of large-scale nutritional data within an epidemiological context. Post 1(Micronutrient status) will
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analysis tools for the large data stream of HTP phenotyping for assessment of abiotic and biotic stress tolerance (e.g. determine extent of damage to a disease or functional response to humidity); also
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classification. • Perform image preprocessing, annotation, and quantitative feature extraction using clinical datasets. • Manage and organize large-scale imaging datasets with attention to data quality, de
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-grade codebases, including data pipelines and analysis workflows. Developing and deploying AI agents and large language model–based tools for tasks such as document processing, information extraction