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Field
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medicine. The successful candidate will join a multidisciplinary team developing AI-driven approaches to integrate and analyze genomics, transcriptomics, proteomics, metabolomics, and microbiome datasets
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, transcriptomic and other molecular analyses. Collaboration with other research teams within Research Programme 7 and national and international partners in the planning, implementation and evaluation
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, single-cell transcriptomics, proteomics, metabolomics, and network reconstruction. Former trainees of the Chi lab have been principal investigators in multiple academic institutions. Please also see the
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IRCM - Cancer Research Institute of Montpellier | Montpellier, Languedoc Roussillon | France | 3 months ago
imaging. ● Access to cutting-edge platforms, including high-field MRI (3T/9.4T), spatial histology, transcriptomics, proteomics, and imaging mass cytometry. ● Competitive salary aligned with INSERM
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particular focus on how these cells interact with their microenvironment. The successful candidate will employ cutting-edge single-cell and spatial transcriptomics approaches in both human and mouse tissues
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related metabolites. · Analyze microbiome sequencing data and integrate multi-omics datasets (microbiome, metabolomics, transcriptomics, and behavioral outcomes). · Mentor graduate students, technicians
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, tissues, and organs using antibody-based imaging, transcriptomics, and systems biology approaches. Since its launch, the atlas has generated one of the world’s most comprehensive open resources for spatial
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the stability of messenger RNAs (mRNAs). Each cell in our body expresses around 12,000 different mRNAs at any given time. To control this complex transcriptome—and thus protein synthesis—cells adjust half-lives
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
. The successful candidate will gain experience in a number of immunologic, transcriptomic and proteomic analyses. Importantly, these projects will provide the necessary training and expertise that will translate
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-cell RNA-seq, multiOme-seq (RNA+ATAC) and spatial transcriptomics (Visium HD, Xenium) and spatial epigenomics. We utilize a wide range of cell-based models, organoid systems and patient material together