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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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Center for Immunology of Marseille-Luminy (CIML) | Marseille, Provence Alpes Cote d Azur | France | 22 days ago
adaptive immune responses against liver antigens. The project focuses on characterizing T and B cell immune responses in autoimmune liver diseases using spatial transcriptomics and adaptive immune receptor
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tools, Earth foundation models, and a good working knowledge of modeling approaches in ecology. In particular, we are looking for someone interested in developing hyperspectral data analysis pipelines and
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11 Nov 2025 Job Information Organisation/Company CNRS Department Laboratoire d'Etudes en Géophysique et Océanographie Spatiales Research Field Environmental science Environmental science » Earth
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: Data analysis - activities: data analysis, statistical analysis, spatial datawet analysis Where to apply E-mail Crystele.leauthaud@cirad.fr Requirements Research FieldAgricultural sciencesEducation
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Vision Profiler (UVP), and to analyse its spatial and temporal variability. This will be done by combining different data sources and machine learning (ML). Data used for this ML approach include - a
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permanent staff members, plus some 15 PhD candidates and 4 post-doc researchers. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5801-GERVIG1-053/Candidater.aspx Requirements Research
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such as single cells transcriptomics, spatial transcriptomics and epigenetics to characterize molecular and cellular mechanisms. Using these approaches, we previously identified an essential role
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, including reflection and photoluminescence. • Design and implement optical setups for spatially resolved and time-resolved measurements of ferroelectric behavior. • Collaborate with theorists and materials
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Vision Profiler (UVP), and to analyse its spatial and temporal variability. This will be done by combining different data sources and machine learning (ML). Data used for this ML approach include - a