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                30 Oct 2025 Job Information Organisation/Company Télécom Paris Research Field Computer science » Informatics Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions Country France 
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                17 Oct 2025 Job Information Organisation/Company IMT - Atlantique Research Field Engineering » Electronic engineering Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions 
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                17 Oct 2025 Job Information Organisation/Company IMT - Atlantique Research Field Engineering » Electronic engineering Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions 
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                23 Oct 2025 Job Information Organisation/Company Télécom Paris Research Field Computer science » Modelling tools Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions Country 
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                16 Oct 2025 Job Information Organisation/Company IMT - Atlantique Research Field Engineering » Biomedical engineering Computer science » Cybernetics Researcher Profile Recognised Researcher (R2 
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                Minimum education and/or experience required: PhD obtained less than 3 years before date of hire in Computer Science, in one of the following areas: Data Science, Artificial Intelligence, or related field 
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                Postdoctoral researcher in the analysis of single-cell and spatial transcriptomics experiments (M/F)progression. The selected candidate will perform single cell and spatial transcriptomic analysis. - Cell preparation for transcriptomic analysis. - Data mining using pipelines developed by the laboratory 
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                22 Sep 2025 Job Information Organisation/Company Télécom Paris Research Field Computer science » Informatics Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions Country France 
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                academic and industrial partners. Job requirements You hold a PhD or equivalent. You have in-depth theoretical or applied knowledge in the field of quantum information. You have research experience in one 
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                of the art data science approaches (text mining, machine learning, AI) to comprehensively highlight yet undiscovered virus/host/environment relationships and annotate potentially putative new spillover