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of the systems. Our work combines process analysis and system modeling to design optimal new technologies and transition pathways simultaneously. To holistically evaluate the environmental impacts of processes and
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part in the planning and optimization of new workflows. Close collaboration with other units of the ETH Zurich—particularly the Institutional Research team—will be essential for your success. Beyond your
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-thinking approach to your work, while enjoying the challenge of learning and mastering new tasks? Are you creative, curious, and motivated to optimize, develop, and implement new ideas? If so, you are
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. This position is primarily linked to the EU Horizon Europe project titled ‘Renovation with automation and optimization of processes and products’ (RENOMIZE) (https://cordis.europa.eu/project/id/101192326 and
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concept is the use of plasma technology. Your tasks This PhD position will contribute to the SNSF-funded Ambizione project Plasma4Water . Your main task will be the design, fabrication and optimization
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applications in forecasting, system optimization, flexibility management, and resilience analysis. The work will be carried out in close collaboration with our interdisciplinary teams at both Empa and EPFL, as
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of Basel and collaborate with partners at Swiss TPH and FHNW, combining expertise in aerosol collection, immunological detection, and engineering. The successful candidate will: Lead the optimization, and
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deep learning into practical tools for sustainable urban energy systems, supporting applications in forecasting, system optimization, flexibility management, and resilience analysis. The work will be
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laboratory environment, primarily at BSL-1 with potential work at BSL-2, by following safety regulations, collaborating with team members, and optimizing workflows. Professional training as a Laboratory
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optimal new technologies and transition pathways simultaneously. To holistically evaluate the environmental impacts of processes and energy systems, we develop predictive methods for Life Cycle Assessment