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. Responsibilities will include: Developing expertise in audiological test batteries Data wrangling, cleaning, and feature engineering Applying and implementing statistical or machine learning methods, depending
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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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of their career developing state-of-the-art statistical and mathematical methods to analyze epidemic data, with the aim to increase our understanding of how pathogens spread in populations, assess the impact of
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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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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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Postdoctoral position: Developing a human lymphoid organ-on-chip to evaluate candidate mRNA vaccines
a Lymphoid Organ-Chip to evaluate mRNA vaccine boosting. Journal of Experimental Medicine 221(10):e20240289. Qualifications: We are looking for a skilled and highly motivated candidate with: a PhD in
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. Candidates must hold a PhD in genetics or virology. One first author publication is mandatory. The project will be carried out in the Mouse Genetics Laboratory, affiliated to the Genomes and Genetics and to
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have a PhD in biochemistry or structural biology. The applicant should have a strong experience in cryo-EM or crystallography AND/OR in eukaryotic or membrane protein biochemistry. The applicant should
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Send your CV along with a motivation letter to chloe.lehoucq@pasteur.fr with benjamin.devauchelle@pasteur.fr in Cc. The candidate should have a PhD in Neuroscience or Cognitive science and the
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-phenotyping of individuals with autism and controls including brain imaging (EEG and MRI) and a battery of cognitive tests. Our group is currently developing new methods for analyzing whole genome and brain