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. Côte d’Azur & INRIA), will be focused on the development and the understanding of deep latent variables models for unsupervised learning with massive heterogenous data. Although deep learning methods and
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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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-mediated inflammation is a key early event in the development of tumor-associated inflammation—a hallmark of cancer that drives tumor growth and progression. AIM2 expression is notably elevated in lung
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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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Vaccine & Therapy Development Desired Qualifications: Ph.D. and postdoctoral experience with a strong focus on RNA biology & regulation and/or epigenomics. A keen interest in understanding the molecular
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Pasteur/INSERM, Paris, France), Mark Brönstrup (chemistry, Helmholtz Centre for Infection Research, Braunschweig, Germany) and Christophe Zimmer (computational biology, University of Würzburg, Germany and
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focused on deep-phenotyping of individuals with autism and controls including brain imaging (MRI, fMRI, DTI and EEG) and a battery of cognitive tests. Our group is currently developing new methods
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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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insights into humoral immunity. This knowledge also informs the development of novel immunogens, vaccine strategies, and therapeutic antibodies with broad and potent activity to fight human infections
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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