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on large-scale genetic and environmental data to identify relevant exposures and gene-environment interactions. Method Development: Develop novel statistical and computational methodologies to address
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, including Titan Krios and Glacios microscopes, a fully equipped crystallography platform, advanced computing clusters, proteomics and BSL-2/3 imaging facilities. The institute provides numerous training
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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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, Applied Mathematics, or a related field. Strong foundation in computational modelling & numerical simulations The laboratory The Decision and Bayesian Computation (DBC) – Epiméthée (EPI) laboratory
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redefinition of behavioral features or pose challenges in their detection. The projects To address these challenges, we propose developing a Bayesian Program Synthesis (BPS) methodology for generating synthetic
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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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independently and collaboratively within a diverse, international team. Proficiency in English (working language). What We Offer A research program linking senescence, tissue repair, and tumorigenesis. A
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, a computational approach with the generation of realistic models of the auditory system allows us to make theoretical predictions and verify our experimental results. The engineer will be responsible
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protocols to evaluate cognitive function in mice. Present results at lab meetings. Requirements: Currently enrolled in a Master’s program in Immunology, Neuroscience, or a related field. Hands-on experience
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R