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Post-doctoral Position in AI Causal models for Synchrotron Anomaly Detection H/F This post-doctoral position is part of a collaboration between LIAD (Laboratory of Artificial Intelligence and Data
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to caroline.manet@pasteur.fr and include a cover letter describing your interest in the position and how your scientific and technical skills match the job description, a detailed CV, a brief (1 page) description
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, Experience and Qualifications PhD in biochemistry, Biomedical Sciences or Chemistry. Mass spectrometry-based proteomics. Data analysis of large proteomics datasets. Experience in cell culture and molecular
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materials to post-mortem gas analysis. This team is completed by data scientists and electronics engineers. A large anhydrous room is available to build Li-ion cell prototypes, as well as to develop any
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of scientific publications. Interested candidates should send to thierry.fontaine@pasteur.fr a cover letter describing their research interests and a detailed curriculum vitae (CV), including contact details
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of their career developing state-of-the-art statistical and mathematical methods to analyze epidemic data, with the aim to increase our understanding of how pathogens spread in populations, assess the impact of
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several partners relying on iron garnet films for their investigations, and notably for ultra-coherent magnonics at low temperatures. For more detailed information about the two positions (requirements
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Keywords Optogenetics, 2-photon activation, large scale electrophysiological recordings, mouse model Lab description Processing of auditory information in the brain is complex because information
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sociality and online behaviour, social media analytics, consumption of online information and misinformation Participation in outreach or public engagement initiatives Creative and innovative ideas regarding
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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