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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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-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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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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Mission. Help optimize the balance between scientific return, technology readiness, and mission feasibility while coordinating with the project manager to align schedule and cost. Lead system-level trade
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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
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vocational training culture. If you wish to optimally combine work and family life or other personal interests, we are able to support you with our modern employment conditions and the on-site infrastructure
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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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. Empa is a research institution of the ETH Domain. The Laboratory for Advanced Materials Processing aims to be an international leader in developing and optimizing innovative 2D and 3D manufacturing