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. Analytical skills and experience with data interpretation, including quantitative analysis of experimental results. Ability to work independently, take initiative, and plan and conduct research with attention
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, affinity chromatography, immunoblotting, immunohistochemistry, flow cytometry (FACS), experimental glioblastoma models, work with laboratory animals, mass spectrometry and bioinformatics analysis methods
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functional proteomics. Experience with cellular infection studies in a BSL2 environment, as well as sample preparation for quantitative proteomics. Strong skills in quantitative proteomics data analysis and
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ways. This information will subsequently be studied in relation to prognosis. The training emphasises study design and statistical analysis. Work duties and responsibilities The main tasks of a doctoral
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experimental work, data analysis, and compilation of results. The position is within the field of translational cancer research. Additional tasks may be assigned within the scope of the position. Qualifications