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the interface of machine learning and biology, developing innovative machine learning methods for single-cell data analysis (tools developed by the team: https://github.com/cantinilab). Single-cell
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Your Job Develop machine-learning–based workflows and scientific software for segmentation, species classification, and lineage tracking in multi-species time-lapse microscopy data Optimize models
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Project INF of the CRC1451: Data Management for Computational Modeling . Within this project, they will develop data-driven, cross-species and cross-scales computational models of motor control based
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-based characterization techniques, requiring visualizing, analysis and interpretation of experimental data. The research results shall be published in peer-reviewed scientific journals and presented at
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, post-doctoral position is available in the Guermonprez lab at Institut Pasteur Paris (“Dendritic cells and adaptive immunity” Unit, Immunology Department https://research.pasteur.fr/fr/department
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) and structural engineering performance in spent fuel Bridge the gap between theory and experiment by integrating microstructural and experimental data into computational models to validate predictive
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Experience with spatial platforms is a plus Experience with bioinformatics pipelines for omics data (e.g. Seurat, Scanpy) Strong analytical and organizational skills Ability to work independently and
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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development work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER
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Guermonprez lab at Institut Pasteur Paris (“Dendritic cells and adaptive immunity” Unit, https://research.pasteur.fr/fr/department/immunology/). Background : We are seeking a highly motivated researcher to join