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Materials” concentrates on the understanding of structure-performance indicators in electrocatalytic reactions. Our catalysts are the heart of sustainable energy conversion processes such as in hydrogen fuel
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robots, tractor-implement automation, communication technologies for vehicles, navigation, guidance and planning, positioning systems, model-based control of mechatronic systems, drives and power systems
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the soil-tree-atmosphere continuum and the resilience functionality of belowground root-mycorrhiza interactions under severe drought. Of particular interest is the extent to which past acclimation to extreme
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the patterns of sexual attractiveness in Nasonia CHC profiles. Expanding on this foundation, the PhD candidate will employ a suite of advanced techniques—single-sensillum recording (SSR), gas-chromatography/mass
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investigation of the aerodynamic performance of advanced future compressor stages, support-ed by numerical modelling and simulations of performance-enhancing design features. In this research project you will be
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Freising-Weihenstephan. - Polarity regulation by protein kinases during stomata development - Phospho-regulation of the plant cytoskeleton - Developmental adaptations for plant growth in soil. We seek highly
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the 01.10.2022. Your Responsibilities: You will work at the cutting edge of privacy-preserving deep learning research with a focus on one or more of the following topics: - Optimal model design for differentially
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messengers transported by the flow or even the pressure of the fluid itself. In an interdisciplinary team, you will either develop theoretical models of the feedback between flow and network architecture
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structured mentoring programs • Participation at international conferences The successful candidate will be hosted in the department of Infection Immunology headed by Prof. Christina Zielinski. We offer a
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2019, the new 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