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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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The HUB : https://research.pasteur.fr/en/team/bioinformatics-and-biostatistics-hub/ Degree: Master degree in computer science, computational biology, bioinformatics or similar Relevant skills : Hard skills
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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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/machine-learning-for-integrative-genomics/ The HUB : https://research.pasteur.fr/en/team/bioinformatics-and-biostatistics-hub/ Degree : PhD in computer science, computational biology, bioinformatics
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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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approach combining cryo-electron microscopy, NMR spectroscopy, and advanced molecular modeling, the research will unravel the molecular architecture and conformational dynamics of pili and their interactions
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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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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
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(https://doi.org/10.1101/2024.12.29.630686 ) reveal that senescence is important for mammary gland involution, a physiological wound healing process that is intimately linked to postpartum breast cancer