13 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIS" positions at Institut Pasteur
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cells at the choroid plexuses on brain development. Our lab investigates how immune cells and signals shape brain development, activity, and aging. In this project, we aim to dissect the contribution
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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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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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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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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
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a view to developing innovative treatments for hearing impairments. The Hearing Institute The Hearing Institute is an interdisciplinary fundamental and medical research center with the objective
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A postdoctoral position is available to study dynamic processes in early development of insects and mammals. Successful candidates will join a collaborative and interdisciplinary venture in
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mechanoelectrical feedback, it requires specific tools to uncouple them and to decode the transformation of complex acoustic stimuli by the brain. In the lab, we are developing electrophysiological and imaging
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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