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models that significantly accelerate forging process simulations, optimize manufacturing parameters, and reduce dependency on computationally expensive simulations. This position offers the opportunity
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other team members and labs at Empa as well as within the ETH Domain. Play a pivotal role in building a solid network with potential partners. Communicate the results via peer-reviewed journals, project
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Postdoctoral researcher position on Resilient Energy Infrastructures for the Swiss Energy Transition
modelling and optimization tools developed by FEN researchers. In addition, you will collaborate with researchers from other groups with different scientific background (ICT, machine learning, reliability
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, adapt, optimize and validate analytical methodologies for quantifying microplastics in complex food matrices. Identifying the relevant types of plastics and their origins Prepare and execute together