10 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "PhD Jobs" "CNRS " positions at Institut Pasteur
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or later depending on your availability. Activities : design of a new mathematical method monitoring and study of publications relevant to the field programming/coding in Python (Pytorch) presentation
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development from spatial transcriptomics data. Activities : – design of a new mathematical method – monitoring and study of publications relevant to the field – programming/coding in Python (Pytorch
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affiliated with the UMR 3525 of the CNRS. The recruited candidate will spend 80% of the time on MDM team’s project and 20% with the Bioinformatics and Biostatistics HUB. The candidate will be managed by Jean
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of the Department of Computational Biology and also holds a secondary affiliation with the Development Department, as well as an affiliation with CNRS. The recruited candidate will be affiliated 80
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settings The Laboratory The DBC-EPI laboratory is a mixed research unit (Institut Pasteur, INRIA, CNRS, UPC) focused on understanding the organizing principles of biological information processing through
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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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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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and spatial transcriptomics and epigenomics. More details: https://research.pasteur.fr/en/team/cellular-plasticity-in-age-related-pathologies/ Candidate profiles We are seeking highly motivated
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the Perception and Sound Design group at IRCAM (CNRS, Paris), whose expertise spans auditory modeling and human psychoacoustics. By elucidating the role of tip link disruption and regeneration in TTS, this work
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significant computational component. We strongly recommend a background in machine learning and coding. Applicants with a background in areas such as computational neuroscience, reinforcement learning, or deep