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biological mechanisms that underpin endometrial regeneration. Applies and analyzes data from next generation sequencing technologies for the study of transcriptomics in bulk- and single cells
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transcriptomics, and bioimaging. Expertise in wet-lab and computational biology, close ties to the clinic, and a wonderful team of early career scientists give us the agility to swiftly move from hypotheses
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multi-omics (e.g., genomics, epigenomics, transcriptomics, and proteomics) information. The postdoctoral fellow will develop and refine machine learning methods for analyzing histopathology, clinical
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, and evolve computational pipelines, including for: Analysis of bulk and single cell RNA -sequencing, spatial transcriptomics, and proteomics datasets Integration of experimental model data with public
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, and evolve computational pipelines, including for: Analysis of bulk and single cell RNA -sequencing, spatial transcriptomics, and proteomics datasets Integration of experimental model data with public
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<span lang="en">Heidelberg University, Heidelberg University Hospital</span> | Heidelberg, Baden-Württemberg | Germany | about 12 hours ago
Grant, our interdisciplinary team investigates the biological mechanisms underlying post-traumatic stress disorder (PTSD). By combining cutting-edge single-nuclei transcriptomics, epigenomics, human
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state-of-the-art laboratories, pleasant office facilities and access to high-quality core facilities in transcriptomics, imaging, flow cytometry and proteomics. You can read more about the team here
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transcriptomics, histological and molecular biology techniques, and the development and application of advanced cell-based assays. You will work in the Research Group for Molecular and Reproductive
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, quantitative confocal/super-resolution microscopy, single-cell RNA sequencing (scRNA-seq), and spatial transcriptomics. • Scientific Leadership: Independently manage project milestones, draft high-impact
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-omics datasets eg. genomics, transcriptomics, proteomics, metabolomics, and related datasets. 3.) Help develop custom databases, web portals and pipelines for managing raw and processed experimental