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project Imaging flow cytometry is a state-of-the-art quantitative flow-based image analysis technique. The combination of fluorescence microscopy and flow cytometry enables high-throughput imaging of cells
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RNA-seq data from single cells. For this, you need to be proficient in using existing tools for bioinformatics analysis. The work is varied, and there are great opportunities for personal development
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analyzing epigenetic data, multiomics data, and Olink proteomics extensive laboratory research experience, including shotgun proteomics, sample preparation for GC-MS analysis, live cell analysis, cell culture
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to Human sequences and viceversa - Experience in Culturing Dictyostelium discoideum - Experience in Genetic engineering and developing CRISPR constructs - Experience in Bioinformatics and data analysis
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culture, drug treatments, genetic manipulation, immunoblots, immunofluorescence, and metaphase spreads analysis. As postdoc, you will principally carry out research. A certain amount of teaching may be part
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culture, drug treatments, genetic manipulation, immunoblots, immunofluorescence, and metaphase spreads analysis. As postdoc, you will principally carry out research. A certain amount of teaching may be part
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-driven precision medicine and diagnostics. Data-driven precision medicine and diagnostics cover data integration, analysis, visualization, and data interpretation for patient stratification, discovery
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: Quality of the master degree in a relevant area Written and oral proficiency in English Capacity for analytical thinking and quantitative analysis Ability to work independently, to take initiative and be
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thinking and quantitative analysis Ability to work independently, to take initiative and be creative Ability and willingness to work collaboratively in a team, including with people of different nationality
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application! The position The principal research engineer will lead independent research projects focused on the integration and analysis of multi-omics data from clinical and population cohorts. Using data