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the field of model-driven and data-driven computational science. Job description Are you interested in bridging the gap between mathematical sciences on the one side and natural sciences, engineering and
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models in more detail using a wide range of methodologies and tools (e.g. molecular cloning and genome editing, immunoblotting, flow cytometry, high-resolution imaging and proteomics/terminomics). With its
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directly on our real test vehicles (see image) for automated driving. Application of modern software engineering approaches (e.g., agile methods, model-based development, CI/CD pipelines) in concrete
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models in more detail using a wide range of methodologies and tools (e.g. molecular cloning and genome editing, immunoblotting, flow cytometry, high-resolution imaging and proteomics/terminomics). With its
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technologies and bioinformatics. Students will either pioneer novel bioinformatics tools or they will push the current limits of our model systems by developing novel tools to study gene function. The initial
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bioinformatics and modelling. Detailed information on the research groups available for supervising PhD projects in the current application call can be found on the website of the IMPRS MolPlant. Our Offer — We
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%, currently 29.85 hours/week). The position is funded by the German Research Foundation (DFG) within the CRC 1286 “Quantitative Synaptology” until 30.06.2029. Within this project, and in a collaboration with
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professor plus an international tutor of the RTG Description of the PhD topic: Innovative Air Mobility (IAM) networks are currently being designed in cities worldwide. These networks rely on electrically
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-related concept proposed by Robert Zubrin) or the solar-wind ion focusing thruster. Starting from first-principles and mathematical models, more advanced numerical tools shall be developed to explore