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biology and host–microbe interactions. Quantitative skills in statistics, bioinformatics, or systems-level analysis. Working Environment Standard office and laboratory environment. Optional fieldwork may
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the following areas: Immunology Systems biology/bioinformatics Single cell transcriptomics/proteogenomics Protein engineering/directed evolution with yeast, phage, or mRNA/ribosome display technology
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MHz with cryoprobes and two 600 MHz spectrometers); mass spectrometry and super-resolution imaging facilities, and is the world headquarters of the Research Collaboratory for Structural Bioinformatics
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QUALIFICATIONS: - PhD in Ecology and Evolution, Virology, Bioinformatics, Computer Science or a related discipline - Demonstrated interest in computational analysis of biological data - Advanced coding skills
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bioinformatics/computer science will be essential. Prior experience with connectomics data is highly desirable. Our group has developed an international reputation in this area and our tools have now been used in
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graduating Ph.D. student or a recent Ph.D. graduate in one or more of the following areas: Horticulture or food science Bioinformatics Toxicology Analytical chemistry Canine science Data science or
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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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and ex vivo cellular imaging, bioinformatics, production of genetically engineered animal models, single-cell profiling, and advanced image processing and analysis. In addition, numerous institutional
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programs that control stem cell development, and how these processes go awry in cancer progression. Our lab is equipped with cutting-edge metabolomics, genomics, molecular biology, and bioinformatics
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in written and spoken English Structured and independent working style Desirable: Experience or interest in bioinformatics Wir bieten Ihnen Goal-oriented, individual training and development