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Field
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advanced bioinformatic and statistical methods for integrative analyses across molecular layers (e.g., genetic, transcriptomic, proteomic data) in relevant tissues. Collaborate with national partners (e.g
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proteins and pathways implicated on disease pathogenesis. We are currently analyzing brain, CSF and blood, multi-omic data (transcriptomics, proteomics and metabolomics), from a large collection of well
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state-of-the-art approaches including single-cell and spatial transcriptomics, circuit tracing and connectomics, and automated behavioral analysis. In close collaboration with the Verstreken and de Wit
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mechanisms of alloimmune responses to the allograft and tolerance induction. We use systems immunology approaches including multiparameter immunophenotyping, transcriptomics, proteomics, leukocyte functional
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., proteomics, transcriptomics, imaging, clinical, and biomarker data). The position is ideal for a candidate interested in mechanistic discovery, biomarker development, and translational neuroscience, with
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with next-generation sequencing, transcriptomics, or functional genomics Experience with microscopy, flow cytometry, or host-pathogen interaction models Interest in translational malaria vaccine
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, biochemistry, plant pathology, cell biology, genomics, transcriptomics, and data mining to improve our understanding of the molecular mechanisms at the plant pathogen interface. The role: The successful
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follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates. Job Duties Develop new and innovative strategies for the analysis of cutting-edge single cell transcriptomic datasets
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of multi-dimensional epigenetic, transcriptomic, genetic and functional genomics data. The Postdoctoral Associate will be expected to participate in the configuration and maintenance of data bases necessary
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and spatial transcriptomics and epigenomics. More details: https://research.pasteur.fr/en/team/cellular-plasticity-in-age-related-pathologies/ Candidate profiles We are seeking highly motivated