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.) Data analysis and statistics (R, Python) Qualified applicants should send their CV, a statement of research interests and the contact information of two referees before March 9 to david.bikard@pasteur.fr
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methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
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% with Laura Cantini’s team and 20% with the Bioinformatics and Biostatistics HUB. Information about the teams : The Machine Learning for Integrative Genomics team : https://research.pasteur.fr/en/team
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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
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, Python, Bash). Good level on machine learning. Good level of written and oral English. Ease in a multidisciplinary environment, taste for teamwork, interpersonal skills. Scientific curiosity
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Network spanning 33 institutes worldwide. Host laboratory: The Mass Spectrometry for Biology Lab https://research.pasteur.fr/en/team/mass-spectrometry-for-biology/ )led by Julia Chamot-Rooke, is a dynamic
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methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
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consequence of the gut environmental cues on the EHEC virulence. More information and application: https://positions.stradivarious.eu/jobs/6722806-dc7-impact-of-microenvi… DC11: EHEC type IV pili structure
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proximity labeling is expected. Experience in confocal imaging and/or super-resolution microscopy would be a plus. The proposed research will be supervised by Dr Marie Prevost (https://research.pasteur.fr/en
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Python-based frameworks or a web application) enabling image upload, AI-based analysis, and visualization of bacterial phenotypes. Perform image analysis using existing deep learning algorithms developed