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. Annalisa Manera. Our lab specializes in both experimental and computational studies of multiphase flows and thermal-hydraulic phenomena in nuclear systems. We develop advanced measurement techniques, perform
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range of topics related to imaging with geophysical data. Our research focuses on mathematical methods for processing, imaging, and inversion of geophysical data, the physics of wave propagation, and the
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the Department of Biosystems Science and Engineering of the ETH Zurich and by the Roche Pharma Research and Early Development (pRED). The programme focuses on development of new tools and methods to resolve
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driven by curiosity about the physical mechanisms that underlie failure and by the ambition to translate this understanding into more reliable and resilient materials and structures. By combining numerical
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novel method for autonomous design of 3D shapes fitting to the user body and optimizing the design to the desired assistance. Apart from actively shaping our group's research, the positions include
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in protein function, how these impact on cellular processes, ultimately giving rise to human disease. While we have a strong track record in fundamental research using computational methods and
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biology, or applied mathematics Documented experience in C++ programming and solid software engineering fundamentals Familiarity with numerical methods for solving PDEs (e.g., finite difference, finite
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The Computational Mechanics Group in the Department of Mechanical and Process Engineering of ETH Zurich is seeking one doctoral student. The position is funded by the SOFRA(CT) project and aims
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100%, Zurich, fixed-term The goal of this work is to develop novel methods for nonlinear wave manipulation and topologically-protected waveguides, and to demonstrate these methods with acoustic
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at the intersection of data science, neuroscience, and clinical research. Project background This position focuses on spinal cord injury (SCI) and aims to develop data-driven methods to improve clinical trial design