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from molecular level to animal experiments. Mathematical processing of the results. Performing parametric and non-parametric statistical analyses. Interpretation of data considering the possibility
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molecular biology methods and bioinformatic or statistical tools for experimental data analysis. Experience with interdisciplinary collaboration and the application of biochemical or proteomic methods in
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-intensive university with a strong commitment to high-quality research and education. The university offers an inspiring research and teaching environment to its 35,000 students and more than 7,000 employees
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