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. Empa is a research institution of the ETH Domain. Your tasks Your tasks will focus on the design and operation of experiments to investigate the failure mechanisms in wooden structures. This will require
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We offer you We offer a full-funded PhD position in a highly interactive, multidisciplinary, and international research group within the Biozentrum. Our group spans expertise in physics, molecular
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well as the disassembly or reassembly of the materials into new composite structures. We envision that the generated knowledge will advance the field of bio-based and sustainable material technologies and contribute to new
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modification techniques to enhance our understanding of aerosol-cloud interactions, ice crystal growth, cloud-radiation interactions, precipitation initiation, and cloud seeding. Building upon the Cloudlab
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order to investigate economical and supply systems and the interaction between lakeshore settlements and their environment. The candidate will collaborate closely with the other disciplines involved in
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in medical applications, this challenge is largely a materials challenge. Existing medical implants are dominated by rigid structures that often lack the adaptability and sophistication required
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of Environmental Sciences (DUW). Scientists at DUW investigate the complex interactions between the biosphere, geosphere, hydrosphere, atmosphere and anthroposphere. Understanding the current state
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positions available in the following research areas: A.) Strong interaction at low energy, dark matter, mu --> e conversion, parity violation (research group of Martin Hoferichter) B.) Hadronic contributions
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this field, we are looking for a PhD candidate for the development of novel multi-constituent nanopastes. Central questions are suitable paste chemistries and the interaction between organic and in-organic
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for integrated carbon capture and conversion technologies. Your tasks Synthesize and characterize materials for heterogeneous catalysis applications Develop synthesis-structure-properties relationships to optimize