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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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to obtain funding for PhD students. In parallel, applications to FRM and/or Pasteur-MD-PhD-PPU program will be also encouraged. Opportunities for Interdisciplinary Training: Depending on the candidate’s
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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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ear gene therapy. The characterization of gene regulatory elements and gene regulatory networks is essential for this purpose. The candidate will use computational methods to develop and integrate novel
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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 to decipher the transformation of sounds both at the peripheral and central levels. Project summary The aim of this project is to study how information about sound frequency or intensity
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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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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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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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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