1,775 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Multiple" "U.S" positions in Germany
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Conduct quantitative, empirical analyses based on a wide selection of structured and unstructured data sources. Support the acquisition of projects and their presentation to different clients. Independent
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https://www.chemie.uni-bonn.de/de/forschung/bigschemistry for further details). International elements Projects with partners in Germany and abroad Special promotion / funding of the programme DFG (e.g
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, TUM) and Prof. Willi Auwärter (Molecular Engineering at Functional Interfaces, TUM). Project: We aim to use the unique optical, photophysical, electrochemical, and structural properties of porphyrins in
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teaches with approximately 25 staff members in the Department of Mechanical Engineering at the School of Engineering and Design (SoED) of the Technical University of Munich (TUM) in Garching on the design
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-destructive testing is a key element in modern multifunctional lightweight construction using fiber reinforced composites and hybrid construction methods. High degrees of freedom in material and component
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Chair of Materials Engineering of Additive Manufacturing at the Technical University of Munich teaches and researches in the promising field of additive manufacturing of metallic structures. The main
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international and dynamic team of engineers, microbiologists, and biotechnologists. Our group pioneers biotechnological platforms that connect microbial processes to future industrial applications while
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the material properties of fiber-reinforced plastic composites, especially when these are reinforced with additional structures. The aim here is to deepen the understanding of the materials and methods involved
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engineering to investigate molecular design, single-molecule analysis, AI-assisted protein development, and medical applications. There are currently 15 open vacancies at 12 partner institutions across six
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-time data acquisition during production, consulting, and prototype manufacturing. Graph neural networks provide an opportunity to operate on Mesh structured data utilized in Finite Element Method (FEM