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, and deep learning, our goal is to identify new antibiotics and their modes of action. To make these methods accessible to the scientific community, we are developing an open-source platform that will
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are developing methods and tools to explore and understand immunity across domains of life, from genomics to experimental work in various model organisms. The role of the engineer will be to consolidate, update
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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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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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host determinants of infection to inform the development of translational malaria prevention strategies. The postdoctoral fellow will contribute to loss-of-function and image-based high-throughput
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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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of these genetic systems and their applications to the development of novel tools to study and control bacteria, with a specific focus on bacteria of the microbiome. The successful candidate will be able to define
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offers a unique opportunity to work at the intersection of computational physics, neuroscience, and biomechanics, developing physics-based simulations that bridge neural circuits, muscle activity, 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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the context of collaborations with wet-lab biologists, both on campus and with external partners. The role will primarily involve applying tools developed within the team, as well as standard single-cell