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materials and structures. By combining numerical modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with the macroscopic behavior of both engineering and natural
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of computational and applied mathematics, including but not limited to data-driven numerical modeling, scientific machine learning and AI for science and engineering, computational uncertainty quantification
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into more reliable and resilient materials and structures. By combining numerical modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with the macroscopic
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structures. By combining numerical modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with the macroscopic behavior of both engineering and natural systems and
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numerous opportunities to exchange ideas with other doctoral students, receive feedback on the work in progress, and acquire the skills necessary for an academic career. The Doctoral Program also supports
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partners, combining theoretical modeling, device design, and ultrafast THz experiments. Project background This project will combine advanced numerical modeling with experimental demonstrations
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only supports your professional development, but also actively contributes to positive change in society You can expect numerous benefits , such as public transport season tickets and car sharing, a wide
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ETH Zurich provides globally competitive salaries, substantial research funding, ample start-up resources, and a world-class research infrastructure. In Switzerland, academics benefit from numerous
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systems. To get an overview of our lab's recent projects, take a look at our publications: https://drescherlab.org/publications.html We are looking for a highly motivated and talented PhD student to join
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algebra, numerical methods, optimization, and control theory Background in online optimization theory and adaptive control theory is a plus Hands-on experience with industrial control systems