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a team. Expertise in transcriptomics and bioinformatics analysis is needed. Previous experience in stem cell culture would be a plus. Website for additional job details https://emploi.cnrs.fr/Offres
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strong track record of research and publications. Experience with in vivo models and/or immunology (highly desirable). Skills in bioinformatic analysis (e.g., scRNA-seq) are an advantage. Ability to work
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Institut de Recherche pour le Développement (IRD) | Montpellier, Languedoc Roussillon | France | about 1 month ago
FieldComputer scienceEducation LevelPhD or equivalent Skills/Qualifications You have developed the following skills: • PhD in bioinformatics, computational biology, genomics, or a related field. • Solid
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purifying the resulting libraries to achieve a quality compatible with different sequencing technologies. - Bioinformatic analysis of the sequence content of enriched DNA libraries. In collaboration with
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, bioinformatics, and phylogenetic modeling will be appreciated. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR9191-ARNLER-006/Default.aspx Work Location(s) Number of offers
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, engineering, bioinformatics, machine learning, artificial intelligence) to support minimally invasive and targeted preventive and predictive medicine capable of limiting age-related functional disorders
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researchers as needed. Qualifications PhD Degree: A Ph.D. in Statistical Genetics, Computational Biology, Bioinformatics, Epidemiology, or a related field. Statistical and Programming Skills: Proficiency in
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such as ChIP-Seq, ATAC-Seq, RNA-Seq, Cut&Tag or Cut&Run; Background in proteomics is desirable; Experience in bioinformatics and analysis of NGS or single-cell data; Animal experimentation license is
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and bioinformatics will be appreciate. The candidate must demonstrate the ability to adapt quickly, work collaboratively and think creatively. Interested applicants should send at fabiola.terzi
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Additional Information Eligibility criteria The candidate should have a PhD in Biology/Evolutionary Biology and skills in bioinformatics and macroevolution (ideally models of phenotypic evolution