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patients hospitalized in France at a national level using data from French health databases (SNDS). Applicants should have a Master or Engineering degree or PhD in Biostatistics or Bioinformatics
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Departments across the Biology/Physics/Biomedical fields. In particular, the fellow will benefit from an exceptional computational infrastructure at the Institut Pasteur BioHub (75 bioinformatics engineers) and
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are seeking a highly motivated candidate with a PhD in genomics, microbiology, bioinformatics, or a related field. The candidate should have expertise in evolutionary genomics or computational biology, and some
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broad range of expertise: from clinical microbiologists, expert in human and animal health, to bioinformatics and machine learning experts specialized in genomics and evolution. The EERA unit combines
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Structural Bioinformatics unit of Pr Michael Nilges. Project background: Among the various molecular mechanisms of antibiotic resistance, changes in antibiotic target by mutation, and reduced access
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. Qualification: An expertise in molecular biology, bioinformatics, imaging and/or infectious models will be appreciated. Starting Date & Duration: This position is opened starting mid 2024 for a total of 3 years
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language (e.g. Python, R). The candidate will typically hold a Ph.D in Statistics/Biostatistics, Epidemiology, Bioinformatics, Computer Science or other relevant disciplines with a quantitative research
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postdoctoral fellow will enjoy a highly interdisciplinary and collaborative environment within a group of complementary expertise and subjects (experimental/bioinformatics; Bacteria/Archaea) led by Simonetta
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of cell identity in stem cells, early mouse embryos and cancer. You will play a pivotal role in applying bioinformatic, statistical, and deep learning approaches to analyze data generated from various high
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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