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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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-based drug design Machine learning Molecular dynamics HTS data and SAR analysis Communicate with project teams and other departments: Interact with other experts in the project in various experimental
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machine learning assisted cellular event recognition) and modeling to dissect quantitatively the feedback fine tuning cell death. Our pojects are currently focusing on studying the impact of mechanical
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project involves collecting and curating a large volume of data. The development of the predictive algorithm will require a good understanding of machine learning evaluation and interpretation techniques
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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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, 1-13, https://doi.org/10.1016/j.cub.2023.12.031 (2024) Villars, A., Letort, G., Valon, L. & Levayer, R. DeXtrusion: automatic recognition of cell extrusion through machine learning in vivo
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computational, statistical, and machine learning methods to characterize the neural circuitry of the neuronal networks of small animals and investigate the influence of physical constraints on their topology
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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