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bioinformatics and biostatistics, using pipelines and computational clusters, to analyse metagenomic data: assembly, gene annotation, etc. - Ability to work in a multidisciplinary research group - Autonomous
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genomics, including experience in quantitative genetics (phenotypic analysis). A strong background in statistics/biostatistics, R programming, handling large datasets, and data visualization is required
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/ Biostatistics or Computational biology applied to quantitative genetics. Good experience in R programming, versioning, management of large datasets and data visualization. Some prior knowledge on common bean and
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