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of state-of-the-art immunological techniques, including single-cell transcriptomics (scRNA-Seq, TOTAL-Seq) and phospho-/proteomics. Data analysis is supported by an experienced bioinformatician
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-transcriptomics of mouse embryogenesis” Event BCI Seminar – “Uncovering molecular mechanisms driving asymmetric cell division with synthetic biology” Event BCI Seminar – “Spatial Control of
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. Experience with cell culture, organoid systems, molecular biology, animal models, gastrointestinal biology, liver biology, microbiome research, immunology, histology, transcriptomics, metabolomics
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in acute and severe pancreatitis . The successful candidate will contribute to multidisciplinary projects that integrate animal models, single cell transcriptomics, and translational human cohort
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integration, gene regulatory networks, spatial transcriptomics, trajectory analysis, or chromatin accessibility analysis. Experience in cardiovascular biology or heart failure is preferred but not required
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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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-Seq, protein-protein interaction studies, in vivo models is advantageous. Training in bioinformatic analysis of large datasets, such as RNA-Seq transcriptomics, genomics, and metabolomics, is valuable
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utilizing computational approaches including machine learning models, image analysis pipelines, and bioinformatics analyses; Designing and conducting experiments integrating microscopy, transcriptomics, and
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mechanisms of disease. Ability to interpret and work with genomics, transcriptomics, immunologic profiling, or other high-throughput molecular datasets in collaboration with computational team members. City of
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asset. · Experience with single-cell genomics, spatial transcriptomics, machine learning, artificial intelligence, or translational biomedical research is considered an asset. Supervision Receiv ed