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framework for uncertainty quantification, which is widely used in academia and industry. Project background This PhD position is part of the ORACLES project ("Optimization, Reliability And CaLibration using
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. This position is part of a collaborative project funded by the Swiss National Science Foundation, which supports multiple researchers, at ETH Zurich and at partner universities, and focuses on the development
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offer Your job with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in society The opportunity to help shape
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We offer An inspiring, international, and interdisciplinary work environment in a world-leading research institute. An opportunity to be part of developing a new area of research within FORM
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element modeling, computational fluid dynamics). Knowledge of heat and mass transport processes in heat-sensitive materials and process optimization. Experience in supply chains and hygrothermal
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research and its efforts to put new knowledge and innovations directly into practice. The Laboratory of Metal Physics and Technology (LMPT), part of the Department of Materials at ETH Zurich, conducts
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demonstrate these in their application materials Familiarity with numerical methods for PDEs (e.g., finite difference or finite element methods) Experience with tissue simulations and/or HPC is a plus Interest
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to the broader Swiss academic ecosystem and industry partnerships Being part of Switzerland's sovereign AI development, working on technology with national significance chevron_right Working, teaching and research
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. Excellent command of English (German is a plus) Workplace Workplace We offer Your job with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively
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research community, expand their personal networks, and advance their own projects. As a fellow, you will be part of the lively and active research environment at the University of Basel and take part in