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the interface of machine learning and biology (tools developed by the team: https://github.com/cantinilab). The team is composed of 8 people : 3PhD students, 3 post doc, 1 research engineer and 1 assistant
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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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methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
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methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
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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
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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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mediate binding under physiological conditions. The ultimate goal is to establish a detailed structural framework for understanding pili-driven adhesion, opening avenues for the development of anti-adhesion
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Network spanning 33 institutes worldwide. Host laboratory: The Mass Spectrometry for Biology Lab https://research.pasteur.fr/en/team/mass-spectrometry-for-biology/ )led by Julia Chamot-Rooke, is a dynamic
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Lung cancers are caused by tobacco smoking but there is a genetic susceptibility to their development, notably through a missense mutation in the a5 nicotinic receptor gene, carried by 30