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to protein engineering and molecular cloning, Experienced in bioinformatic genome analysis and computational tools related to protein structure analysis and prediction, Sufficient expertise in standard
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, also German Independent working style combined with high initiative and organizational skills Basic knowledge of bioinformatics would be an advantage Your Benefits An excellent scientific environment
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interpretation. A Ph.D. in biostatistics, statistics, bioinformatics, computational biology, or computer science is required. Strong computational background with programming and visualization skills in R and
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are readily available, including biorepository and clinical biomarkers labs, biostatistics, applied bioinformatics, proteomics and metabolomics and a variety of brain and body imaging resources (MRI, fMRI, DTI
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Training: A Ph.D. in biomedical science, engineering, bioinformatics, or related areas is required. Backgrounds in cell and molecular biology, cell culture, imaging, statistics are preferred but not required
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this research project, state-of-the-art techniques will be employed including multi-spectral imaging, methylome analyses, RNA-Seq at single-cell and bulk levels, cell culture as well as bioinformatics analyses
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brings together six research groups in Tübingen with complementary expertise in microfluidics, organoid generation, onco-immunology, and bioinformatics. If you’re excited about developing the next
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resources Minimum Education and/or Training: A Ph.D. in biomedical science, engineering, bioinformatics, or related areas is required. Backgrounds in cell and molecular biology, cell culture, imaging
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research on the topic outlined above is paramount Candidates are expected to be interested in working at the boundaries of several research domains PhD degree in computational biology, bioinformatics
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completed PhD in (bio)informatics or (neuro)immunology A completed Master’s degree in biology, biomedicine, bioinformatics, or data science Basic knowledge in cell culture, immunology, and molecular biology