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of computational biology, protein language models, structural biology, and immunology. 🎯 Main Missions Build and curate large-scale antigen sequence datasets for training and fine-tuning protein language models
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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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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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. Proficiency in English (working language). What We Offer A research program linking senescence, tissue repair, tumorigenesis, and aging A collaborative, international, and supportive lab culture. Access
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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and in collaboration with members of the lab and international collaborators in a dynamic, diverse and multinational group is essential. English is the working language. Applications should include a
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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
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pathologies) and flow cytometry Desirable : Previous experience in transcriptomic analysis (scRNAseq), scripting languages (R) and Seurat. Would be a plus : Previous experience in epigenetic analysis
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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