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complementary methodologies (corpus data and offline experimental measures). On the theoretical side, the project will develop a formal compositional model that generates the observed parameters of variation and
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the field of dosage form development. A willingness to cooperate with the research groups in pharmacy and biochemistry as well as the Faculty of Medicine at the University of Tübingen within the framework
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. Furthermore, we develop advanced scattering methods and machine learning tools for data analysis. For more information, see www.soft-matter.uni-tuebingen.de Qualification and skills Candidates should have good
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implementation of synthetic regulatory circuits to dynamically reprogram bacterial metabolism. Development and application of tools such as CRISPRi/a, inducible promoters, and temperature-sensitive proteins