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proteomic analyses often obscure the intricate cellular and molecular variations within this complex environment. Single-cell proteomics (SCP) offers a novel approach to dissect this heterogeneity by
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cytometry, fluorescence imaging, mouse models, single-cell RNA sequencing, or molecular and cellular biology. Candidates should have a Ph.D. (or equivalent) degree or should be close to obtaining
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bioinformatics, and statistical modeling to decode the complex molecular mechanisms that shape human vision. By leveraging high-dimensional data and cutting-edge computational analyses, we aim to uncover
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mice as model systems and combine molecular, cellular, developmental and bioinformatics approaches to establish how chromatin regulators reshape the epigenome and regulate cell fate during development
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with animal models, transcriptomics (long read, single cell), multi-parameter flow cytometry, molecular biology and fluorescence imaging will be preferred. We offer an interdisciplinary research team
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immune cells will be studied in preclinical models with special emphasis on how adoptively transferred cells interact with tumor cells, the tumor microenvironment, and resident immune cells. Successful
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/or M.D., a record of publication, and experience with molecular, biochemical, and cell biological techniques. Applicants with expertise in mouse models and working with hematopoietic stem cells
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mechanisms of cell signalling in several cellular models. The team combines omics technologies with bioinformatics, and functional validation of candidates by biochemical, cell biology, and imaging methods
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disorders, and childhood cancers. We employ high-throughput metabolomics, epigenomics, single-cell multiomics, (epi)genome editing, and preclinical models to define disease-associated metabolic and epigenetic
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. Experience in working with animal models, transcriptomics (long read, single cell), multi-parameter flow cytometry, molecular biology and fluorescence imaging will be preferred. We offer an interdisciplinary