15 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UCL"-"St" positions at Institut Pasteur
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neurons and behavior. However, extracting meaningful insights from extensive and noisy recordings necessitates the development of new, statistically robust methodologies. Recent experimental studies
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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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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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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