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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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. This research builds on recent work on optimization-based workspace adaptation in VR/MR and aims to advance interactive systems that dynamically adapt to user behavior, preferences, and intent to optimally
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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
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position will contribute to the SNSF-funded Ambizione project Plasma4Water. Your main task will be the design, fabrication and optimization of catalytic coatings for water treatment. As a PhD candidate, you
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-stakeholder collaboration across phases to improve decisions. Methods may include AI/ML (incl. LLMs), XR, robotics, simulation, optimization, or others that fit your research question. We welcome foundational
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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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-duration energy storage. The approach is to use hierarchical structures, i.e. complex material layers that can be optimized to specific battery chemistries and flow phenomena from the microscale up
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-duration energy storage. The approach is to use hierarchical structures, i.e. complex material layers that can be optimized to specific battery chemistries and flow phenomena from the microscale up
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and additives Optimize melt-spinning, uniaxial stretching, and post-treatment steps to control sheath porosity and ion diffusion Acquisition of research grants and writing of scientific publications