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quality analysis, and measurements of microbial production. They involve data analyses, dissemination of research findings in scientific publications and conference presentations, as well as supervising
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), including both laboratory methods and data analysis pipelines, will be considered an asset. Knowledge in bioinformatics/data analysis, and ability to handle complex datasets, will be considered an asset
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. Expertise in single-cell RNA sequencing (scRNA-seq), including both laboratory methods and data analysis pipelines, will be considered an asset. Knowledge in bioinformatics/data analysis, and ability
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systematic reviews, meta-analysis, or other integrative approaches strong quantitative skills, including handling and analysis of large datasets experience with programming languages for scientific computing