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of preclinical murine model of melanoma responsive or not to ICI. Specific objectives and methods The specific objectives of the M2 are: 1°) To identify which DC population undergo dynamic changes during ICI
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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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advice and guidance on the use of existing analysis methods and tools. Keeping up-to-date with the latest technologies and analysis methods. Regularly monitoring relevant literature and publications, and
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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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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 with flow cytometry and
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; developing our partnership programme with industry; contributing to a quality management system; and the organization of webinars and other dissemination activities, including publications. Support from
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The Bioinformatics and Biostatistics Hub at Institut Pasteur provides computational biology support to research units and platforms at the Institut Pasteur. Our mission is to: Collaborate
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ability to work in a cooperative, multi-cultural and multi-disciplinary environment. Dynamism, self-organization, autonomy and drive. Interest for computing biology (R programming, image analysis) will be
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to the ontogeny of health and disease. This project was selected for funding by the ERC-CoG-2024 call and the Impulscience program from fondation Bettencourt Schueller.