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physiological balance. Perform LC/MS based proteomic analyses of circulating proteins and assess their impact on organs in mouse models and cell cultures. Analyze and interpret omics data using bioinformatic
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responsibilities include bioinformatics analyses with a strong focus on single-cell RNA sequencing and next-generation single-cell barcode lineage tracing, as well as the interpretation of complex biological
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cytometry and RT-qPCR. The computational work includes, for example, the analysis of omics data and computational modeling. Experience in cell culture, molecular cloning, and bioinformatics analyses is
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Experience with serology and high-parameter flow cytometry Expertise in statistical and bioinformatic analysis of immunological datasets Experience with the development or use of viral infection models
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mechanisms determining their separation. The project will either have a strong emphasis on theory, molecular biology techniques and microscopy, and/or on bioinformatic and evolutionary analyses. Main
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in mouse models and cell cultures. Analyze and interpret omics data using bioinformatic pipelines in Python and R. Perform experiments in cell culture and animal models to validate the findings
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the fungal ecology team. Your profile The postdoc must already have a working knowledge of fungal ecology, and DNA extraction, sequencing, bioinformatics, and data analysis. They must also already have
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Biology is organized into seven research programmes which all focus on different areas of cell and molecular biology: Computational Biology and Bioinformatics, Microbiology and Immunology, Molecular Biology
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Master's degree in Molecular Biology, Biotechnology, Bioinformatics, or a related field, with an experimental and/or computational profile. We are looking for a motivated, creative, and curious colleague
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well as with experimental data. A suitable candidate may focus on a specific expertise, such as bioinformatics. The main work will concentrate around sarcomas, but our solutions are generic and may be applied