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Field
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for the candidates: The candidate should have: Ph.D. (or equivalent) in biological sciences or bioinformatics. Laboratory experience in molecular biology/genetics/microbiology Good knowledge of molecular biology
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traceability and species identification, including optimisation of laboratory and field-deployable protocols. Generate, manage and analyse genetic/genomic datasets using appropriate bioinformatics, statistical
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bioimaging and bioinformatics team at IBENS, under the supervision of Auguste Genovesio. The postdoctoral researcher will have access to a workstation as well as computing servers equipped with GPUs. Where
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resistance. Our laboratory employs cellular and molecular biology techniques, proteomics, and bioinformatics techniques. Our laboratory has state-of-the-art BSL-2 facilities, which are fully equipped to carry
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, protein-DNA interactions with role(s) of epigenetics and Bioinformatics, Cell culture and transcriptional regulation, Imaging and large-scale data analysis/Bioinformatics, and Epithelial biology. Required
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mouse colony management in collaboration with animal facility staff. Analyzes and interprets experimental data using appropriate statistical and bioinformatic approaches. Develops and optimizes new
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Doctoral (TV-L E13, 65 %) and Postdoctoral Researcher Positions (TV-L E13, 100 %) in Microbial Commu
or PhD (or equivalent) in Natural or Life Sciences (e.g., Biology, Chemistry, Bioinformatics, Geosciences, Biomedical Sciences, Biotechnology, etc.). Candidates about to obtain their degree are welcome
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with the PI and other group members. Refines their independent project, and be responsible for analytic design and carrying out computational/bioinformatic strategies. Takes lead in writing scientific
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qualification in Genetics, Bioinformatics, Computer science, Data science, Statistical Genomics or a related discipline involving the interrogation of â˜omicsâ™ datasets. Hands-on experience with large-scale
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Statistics, Bioinformatics, Computational Biology, Biostatistics, Statistical Genetics, Medical Statistics, Mathematics or similar. The candidate should have a strong background in second-generation sequencing