15 machine-learning "https:" "https:" "https:" "https:" "University of St" positions at Institut Pasteur
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details of 2-3 references to laura.cantini@pasteur.fr For more information : https://research.pasteur.fr/en/team/machine-learning-for-integrative-genomics/
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The Machine Learning for Integrative Genomics team at Institut Pasteur, headed by Laura Cantini, works at the interface of machine learning and biology, developing innovative machine learning
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, and deep learning, our goal is to identify new antibiotics and their modes of action. To make these methods accessible to the scientific community, we are developing an open-source platform that will
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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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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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on structural data. More information and applicaiton : https://positions.stradivarious.eu/jobs/6722909-dc11-ehec-type-iv-pili-structure-host-adhesion-and-signalling
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with machine learning approaches Knowledge of muscle mechanics (Hill muscle model or similar) Previous work on simulated bodies or animal locomotion Your Role You will work collaboratively with a
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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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Host Lab our lab (https://research.pasteur.fr/en/team/cellular-plasticity-in-age-related-pathologies/ ) explores how cellular senescenceorchestrates tissue repair and regeneration. We focus on how
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2025 are particularly encouraged to apply Work Location(s) Number of offers available1Company/InstituteInstitut PasteurCountryFranceCityParisGeofield Contact City Paris Website https