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experimentation (mandatory), experience with flow cytometry, molecular biology and cell culture techniques. Applicants should be highly motivated, proficient in English, well organized, and able to work
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(Git / GitHub) Proficient written and spoken English (B2 level or higher) Ability to communicate methodological assumptions and limitations clearly and succinctly Experience with reproducible
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, Python, Bash). Good level on machine learning. Good level of written and oral English. Ease in a multidisciplinary environment, taste for teamwork, interpersonal skills. Scientific curiosity
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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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background in machine learning or statistics. The candidate must also be proficient in high-level languages like Python. Familiarity with single-cell date and experience with existing single-cell methods and
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track record of publications in relevant scientific fields Expertise in tissue engineering will be an asset. Good communication skills in spoken and written English are essential. Application: Interested