23 algorithm-development-"Multiple"-"Simons-Foundation" positions at Institut Pasteur in France
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which neural network effectively conveys this information are central questions in the field of hearing and neuroscience in general. We are developing several complementary approaches to answer
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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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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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Simulation and Physics of Drosophila Larva Body Dynamics Introduction The “STRETCHED” project aims to develop a robust, physics-based 3D simulation platform to replicate the motor control dynamics
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on scientific projects submitted by research teams of our institute. Train scientific staff from Institut Pasteur Paris and the international network of Institut Pasteur. Develop tools and applications to be
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functionally heterogeneous and encompass multiple subsets including XCR1+ DCs, and a variety of IRF4+ DCs (DC2As, DC2Bs, DC3s) and plasmacytoid DCs. DCs are short-lived cells continuously developing from
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) are the sentinel of the immune system. DCs are developmentally and functionally heterogeneous and encompass multiple subsets including XCR1+ IRF8+ DCs, and a variety of IRF4+ DCs (DC2As, DC2Bs, DC3s) and
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arises from a single overarching protective mechanism or from multiple fibre-specific adaptations that collectively enhance resistance to neuromuscular pathologies. Our preliminary work using single
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We are looking for a project manager to develop our activities around the genomic taxonomy of bacterial strains and the corresponding platform at https://bigsdb.pasteur.fr/. The project manager’s
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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