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Offer description A post-doctoral position for 24 months is available immediately for an advanced scientist in data science and modeling at the Centre for Research and Innovation in Humans (CERIAH
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Pasteur center, in Paris (France). We are seeking an outstanding, highly motivated advanced scientist in molecular biology and neuroscience for projects on gene regulation and gene regulatory networks with
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, and molecular evolution. The researcher will work within an international team to understand the evolution of integrons and other hyper-mobile regions in genomes. The focus will be on functional
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Fongiques, 25 rue du Docteur Roux, 75015 Paris We are seeking a highly motivated and talented post-doctoral fellow to join our team, Unité de Biologie et Pathogénicité Fongiques (headed by Pr C. d’Enfert
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to work with and develop state-of-the-art statistical and mathematical methodology to improve understanding of epidemic dynamics and control. Recruited postdocs will work on one of the new projects starting
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Postdoctoral position: Developing a human lymphoid organ-on-chip to evaluate candidate mRNA vaccines
A post-doctoral position is available to develop a 3D model of a human lymph node and apply this model to preclinical vaccine evaluation. The successful applicant will join the team of Lisa
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The Mouse Genetics Laboratory is recruiting a post-doctoral fellow to study the role of host genetic determinants in the transmission of Zika virus between mice and mosquitoes in a collaborative
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. Ideally, we would like to know the cochlear output precisely to study its effect on neural representations. However, because cochlear mechanics and neuronal processing are reciprocally coupled through
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Nicotinic acetylcholine receptors (nAChRs) are neurotransmitter-gated ion channels playing a major role in the nervous system. Their dysfunction is linked to severe psychiatric and neurological
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The Machine Learning for Integrative Genomics team at Institut Pasteur, headed by Laura Cantini, works at the interface of machine learning and biology, developing innovative machine learning