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Spatial OMICs to uncover cell identity during developmental processes

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    Duration
    General Aim
    • Biological
    • Medical
    • Core Facility Staff Career
    Specific topics covered
    • Optics
    • Microscopy
    • Biological skills (Sample preparation, probes…)
    • Animal handling
    • Image processing and data analysis
    Target audience of the training
    • Msc students
    • PhD students
    • Post-docs
    • Early career scientists (less than 8 years from the date of the PhD/doctorate)
    • Core Facility Staff
    • Core Facility Head
    • Researchers
    • Medical Officers
    Rhône-Alpes
    Aussois, France
    31/05/2026 11:59 pm
    13/09/2026 12:00 am
    18/09/2026 5:00 pm

    Description of the training activity

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    The first Spatial-Cell-ID Summer School (SCID 2026) will be held from September 13th to 18th, 2026, at the Centre Paul-Langevin in Aussois (French Alps).

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    This Summer School is designed to train students and researchers in the rapidly expanding field of Spatial OMICs.

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    The program aims to provide an understanding of the field, ensuring that attendees can bridge the gap between wet-lab technologies and the complex bioinformatics workflows required to interpret high-resolution spatial data.

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    Applicants are required to submit a motivation letter and may also include a poster abstract if they wish to present their work during the school.

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    The registration fee covers access to all scientific sessions and hands-on tutorials, as well as full-board accommodation at the Centre Paul Langevin, including all meals and coffee breaks for the duration of the event. We are also pleased to confirm that registration is free of charge for all CNRS agents.

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    All details regarding the scientific program, speakers, and the application process can be found on our website:
    https://spatial-cell-id.github.io/scid2026/

    PhD students, Researchers, Engineers
    Hard Skills - Spatial OMICs

    Contact for registration/administrative aspects:

    scid2026@sciencesconf.org
    https://spatial-cell-id.github.io/scid2026/

    Location

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