21 embedded-system "https:" "https:" "https:" "https:" "UCL" positions at Institut Pasteur
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required. The Machine Learning for Integrative Genomics team (https://research.pasteur.fr/en/team/machine-learning-for-integrative- genomics/) at Institut Pasteur, led by Laura Cantini, works at
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-of-the-art and highly used software to detect defense systems in bacterial genome developed by the lab. In collaboration with developers from the hub, the candidate will help develop web interfaces between
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learning and biology (tools developed by the team: https://github.com/cantinilab ). The team is composed of 9 people : 4PhD students, 3 post doc, 1 research engineer and 1 assistant. The team is associated
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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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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Role : The Machine Learning for Integrative Genomics team, led by Laura Cantini, is recruiting a permanent research engineer. The successful candidate will carry out single-cell data analysis in
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since January 2024 by Professor Yasmine Belkaid, the Institut Pasteur is home to more than 3,000 members of over 100 nationalities. From fundamental understanding of biological processes to pandemic
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to accurately replicate the larva’s complete neuromuscular control system—a highly deformable biological system with a fully mapped neural connectome. The project leverages: Our current physics-based simulation
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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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proximity labeling is expected. Experience in confocal imaging and/or super-resolution microscopy would be a plus. The proposed research will be supervised by Dr Marie Prevost (https://research.pasteur.fr/en