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Field
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and single-cell omics (transcriptomics, proteomics, epigenomics, metabolomics, meta-transcriptomics, etc.) data. Independently carry out computational and bioinformatics analysis for large-scale spatial
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-population analysis, and integration of genomic data with longitudinal electronic health records. The scholar will have opportunities to lead projects using data from the Global Biobank Meta-Analysis
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journal hand searches to support the development of the EEF Early Years Evidence Store. To undertake meta-analysis (data extraction, analysis and synthesis of quantitative research in Education). To use
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using large language models for evidence synthesis, using open source software to manage and conduct literature review, and/or the ethical and appropriate use of scholarly information in meta-research
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and immune cell subsets. Your research contributes to a large longitudinal lifestyle intervention study involving clinicians, translational researchers and data scientists. Working closely with a
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Austin’s new School of Computing, alongside Statistics and Data Sciences and Information. The new School is designed to strengthen collaboration and create new opportunities for cross-departmental research
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! Position Information Job Summary: This Assistant Research Scientist position supports the Dass Microbial Ecology Laboratory’s Food Safety and Defense and Farm-to-Plate Antimicrobial Resistance research
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and exit), institutional factors and time frame. Conduct meta-analytic synthesis where comparable quantitative measures exist, and thematic synthesis of qualitative findings. Undertake secondary data
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UNSW isn’t like other places you’ve worked. We are a large organisation with a diverse and highly talented community doing extraordinary work. We are driven to be thoughtful, practical and purposeful in
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, translational, and genomic research projects. Design, implement, and optimize experimental and computational research methodologies. Perform quality control, phasing, imputation, association testing, meta