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Field
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of the underlying mechanisms of rarer diseases using patient-derived cells and animal models. Integrate novel omics (including (but not limited to): genomics, transcriptomics, epigenomics, proteomics
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and support all aspects of the research project. Carry out algorithm development and data analysis, including (but not limited to) single-cell and bulk transcriptomics, spatial omics, proteomics, and
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Institute for Translational Medicine and Liver Disease (ITM), Inserm U1110 | Strasbourg, Alsace | France | 2 months ago
advanced data infrastructure provided by both Inserm and the University of Strasbourg Access to cutting-edge technologies including next generation single-cell RNASeq, spatial transcriptomics platform and
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Biology, or a closely related discipline, and have demonstrated experience in developmental biology, stem cell biology, gene regulation, transcriptomics, or transposable element biology. Experience
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researching advanced omics technologies, such as transcriptomics and proteomics, along with imaging, to characterise cells affected by chemical or genetic perturbations. Leveraging advanced AI methodologies
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cohort-based discovery through assay development, validation and implementation readiness — supported by transcriptomic, proteomic and machine learning platforms. Where to apply E-mail dgonzalo
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. By employing and advancing existing cell culture model systems, combined with state-of-the-art readouts including transcriptomics, epigenomics, metabolomics, flow cytometry and imaging, this project
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-associated vulnerabilities to identify promising therapeutic targets and combinations. Integrate molecular, genomic, transcriptomic, epigenetic, and phenotypic data to uncover actionable drivers of treatment
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tests, continuous glucose and sleep monitoring, and multi-omic molecular profiling, including genetics, transcriptomics, microbiomics, metabolomics, and immune system markers. The division leverages
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in independent scientific research including molecular and cell biology, histology, flow cytometry and microscopy. Experience with cardiac biology, bioinformatics (scRNAseq, spatial transcriptomics etc