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methods and systems to overcome the limitations of today’s materials processing technologies. One particular area of interest is the design and fabrication of active structures through hybrid production
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on the design of AI-based surrogates of large-scale energy system models and will be integrated in the activities of the Nexus-e group with close links to the ETH AI Center and the Reliability and Risk
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also be opportunities to design novel bioelectronic implants and develop specialized control software Profile We are seeking highly motivated applicants with a background in physics, material science, or
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chemical structures that interface with and actuate cellular activities, we design programmable cellular implants and devices for therapeutic applications. By integrating fundamental discoveries with
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data or urban mobility patterns Good German language skills (at least B2) Experience with collecting own data (e.g. questionnaires; measurements) Experience with developing networks with stakeholders
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enable new routes toward fault-tolerant quantum computation and open exciting opportunities for exploring frontier problems in quantum information dynamics. The successful candidate will: Design, build
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politicization affect technology adoption, industrial development, policy design, and its socio-technical and political feedback effects. The project is embedded within ETH Zurich’s new Einstein School of Public
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, robust acquisition strategies. Design, execute, and document high-quality measurements for internal projects and external collaborations, including appropriate QC, troubleshooting, and clear reporting
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design (TCAD) tools should operate at the ab-initio and quantum mechanical level. Moreover, they should capture the interplay between electrical (voltage-induced currents), thermal (excitation of crystal
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resolved (hourly‑scale) data on species presence, abundance, and movement patterns in rivers and streams. To address this gap, this project aims to realise the Riverine Organism Drift Imager (RODI)—a unique