207 engineering-computation-"https:"-"https:"-"https:"-"https:"-"NOVA.id" positions at ETH Zurich
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operations that are yet to be fully understood. In this context, it is evident that the operation, control, and planning of power systems will soon be pushed to their limits. Therefore, new computational
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have enabled unprecedented control over light-matter interactions, catalyzing breakthroughs in imaging, nonlinear optics, and photonic computing. We leverage these developments to advance the field
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80%-100%, Zurich, fixed-term The Center for Climate Systems Modeling (C2SM) at ETH Zurich is a joint, interdisciplinary center linking ETH Zurich with partner institutions. It provides a technology
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organised individual to support multiple experimental and computational research groups. The successful candidate will contribute to both a collaborative research network and institute-wide activities
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We are looking for a highly motivated postdoctoral researcher with a strong background in electrical engineering and hardware-software co-design to join our interdisciplinary research team at D-ITET
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100%, Zurich, fixed-term ETH Zurich’s new Political Economy of Technology (PET) group at the Department of Humanities, Social and Political Sciences , led by Prof. Dr. Lukas Fesenfeld, is seeking a
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computer engineering, computer science, a relevant technical field, or equivalent practical experience. You should have a sound knowledge of: Linux administration skills Deploying services on Kubernetes
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doctoral degree in mechanical, civil, aerospace, biomedical engineering, materials science, physics, or a related field. You have a strong background in computational solid mechanics and nonlinear continuum
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specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120
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modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with the macroscopic behavior of both engineering and natural systems and develop predictive tools