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the in-house database and experimentalist, external collaborators, or the public. These interfaces will be key in helping experimentalists explore bioinformatics results to prioritize their candidates
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immunology and bioinformatic analysis (e.g., scRNA-seq) (highly desirable). Skills in in vivo models are an advantage. Ability to work independently and collaboratively within a diverse, international team
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% with Laura Cantini’s team and 20% with the Bioinformatics and Biostatistics HUB. Information about the teams : The Machine Learning for Integrative Genomics team : https://research.pasteur.fr/en/team
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the main bioinformatics software and methods (R, Python, Bash). Knowledge on large-scale genotyping/sequencing data analyses. Good level in statistics. Good level of written and oral English. Ease in a
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disease research, the Institut Pasteur offers unparalleled access to cutting-edge core facilities (cryo–EM/cryo–ET, high-containment labs, advanced imaging, bioinformatics platforms) and a vibrant