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Field
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to join an interdisciplinary project at the interface of single-cell genomics, data integration, and developmental biology. The project focuses on the integration and analysis of multi-modal single-cell
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conducting experiments, analyzing and interpreting research data, preparing biological samples for laboratory analyses, and utilizing flow cytometry and imaging technologies to investigate sperm phenotypes and
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publication with PI supervision. Assists with the preparation of grant applications. Protects the organization's value by keeping research information confidential. Updates job knowledge by participating in
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Post Doctoral Researcher / Senior Post Doctoral Researcher - School of Biochemistry and Cell Biology
-seq, tRNA-seq, scRibo-seq) to generate high-quality data from ovarian cancer cell lines, organoids, and clinical samples. Through close collaboration with the bioinformatics team and industry partner
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Post Doctoral Researcher / Senior Post Doctoral Researcher - School of Biochemistry and Cell Biology
work at the interface of academia and industry processing, analyzing and interpreting single-cell RIBOseq and RNA-seq data to build a comprehensive knowledge base for ovarian cancer target discovery
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single-cell multi-omics (scRNA-seq, scATAC-seq, Multiome) data generated in 3D forebrain dorsal organoids, we aim to map regulatory networks sensitive to NR2F1 expression levels. Our group studies
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should submit a cover letter, CV, a brief research proposal, and two to three references’ names and contact information. Applications will be reviewed on a rolling basis until the position is filled
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Special Instructions Interested candidates should submit a cover letter, CV, a brief research proposal, and two to three references’ names and contact information. Applications will be reviewed on a rolling
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bioinformatics/data analysis, to join our multidisciplinary research team at Baylor College of Medicine. The Postdoctoral Associate will work on cutting-edge translational cancer research projects involving tumor
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2 Aug 2026 Job Information Organisation/Company CNRS Department Institut de génétique et de biologie moléculaire et cellulaire Research Field Biological sciences Researcher Profile Recognised