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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 development of innovative
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Curriculum vitae (no picture) Academic writing sample (e.g., Master thesis or term paper) Complete academic record with undergraduate and graduate courses and grades Copies of certificates Contact information
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Simulation Framework The Computational Biology (CoBi) group, led by Prof. Dagmar Iber, develops data-driven, mechanistic models of biological systems using advanced imaging and computational tools. Our group
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Project '' Facilitating a paradigm shift in osteosynthesis: Controlling biodegradation of magnesium alloys an their local effect on surrounding tissue'' (Nr. 10007007; project start 01.10.2025
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-mechanical phenomena in Li-Ion batteries You will have the opportunity to use and build upon extensive datasets, code, experience around tomographic measurements of battery materials and components, image
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them as we review the applications). Portfolio – Overview with project summaries and links to code repositories, datasets, and other supporting materials. (Optional) Publications – brief overview of your
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Krios microscopes, all hosted and maintained at ETH Zurich’s imaging facility, ScopeM. Appropriate computational resources are also readily available. In addition, we have access to the biophysical
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model, which is part of the ICON-ART (ICOsahedral Nonhydrostatic – Aerosols and Reactive Trace gases) modeling system. The goal is to better understand the environmental pathways of selenium - from its