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-to-end virtual supply chains. This project also aims to optimize other thermal processes using digital twins, such as thermally-steered drug delivery processes for applications in oncology. PhD position
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, based on measured air temperature and humidity data in cold chains by commercial sensors, and deploy them in end-to-end virtual supply chains. This project also aims to optimize other thermal processes
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approach to (1) better understand and steer refrigeration processes or packaging design by optimizing for product quality loss and waste, and (2) connect the improved quality preservation from digital twins
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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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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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Perform experiments in PSI laboratories and at synchrotron radiation facilities, data processing and analysis Optimization and automation of reaction parameters, correlation of the structural data with
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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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-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