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or bioinformatics as well as structural biology is required but an interest in learning the basics of those as well as in systematic, HTP approaches would be important. If you are interested in this project, please
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bioinformatic analysis. You will work in a team of developmental biologists and bioinformaticians. The successful candidate will have a strong background in Molecular or Developmental Biology to study ageing
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. Through computational biology and bioinformatics approaches, it is now possible to identify, quantify, and characterize these modifications across the genome. This project aims to push the boundaries
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students. This position will focus on bioinformatics applied to genomic, single-cell transcriptomic, and neurobiological data, and will be co-supervised by H. Darras and C. Martelli. The ideal candidate
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bioinformatics approaches, it is now possible to identify, quantify, and characterize these modifications across the genome. This project aims to push the boundaries of what is known about nucleic acid
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computational biology), Hugo Darras (evolution and genomics), and Susanne Foitzik (behavior and evolution), and two PhD students. This position will focus on bioinformatics applied to genomic, single-cell
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ageing embryos by Next Generation Sequencing, to understand the molecular network involved in these phenotypes. You will learn to analyze these Big Data by bioinformatic analysis. You will work in a team
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bioinformatics and immunology, particularly T-cell biology, is desirable. Additionally, familiarity with molecular biology techniques (e.g., CRISPR/Cas9, RNA sequencing, flow cytometry) is advantageous
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an interest in systems biology approaches and develop skills to apply bioinformatics on newly generated and available omics data sets. If you are interested in this project, please select Ruf as your
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-cell immunoaging and enhance immune function in the elderly. For these PhD positions experience in both bioinformatics and immunology, particularly T-cell biology, is desirable. Additionally, familiarity