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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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, production-quality systems. We are seeking an expert in 3D garment reconstruction from multi-view images to join our team at the ETH AI Center. Project background We are looking to fill this role as part of
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G. M. Silva, within the group of Prof. Roman Stocker, and focuses on the development and deployment of a new‑generation underwater imaging device to transform drift studies in riverine ecosystems. It
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energy transfer, developing and employing computer simulations, laboratory experiments, and field analyses. Our aim is to gain fundamental insights and develop sustainable technologies to address societal
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motivated individual to develop Python tools for analyzing data from our holographic cloud particle imagers. Our research group studies the crucial role of clouds and aerosols in the climate system, aiming
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100%, Basel, fixed-term The Computational Biology (CoBi) group, led by Prof. Dagmar Iber, develops data-driven, mechanistic models of biological systems using advanced imaging and computational
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80%, Zurich, fixed-term The Laboratory of Molecular Medicine, led by Prof. Yohei Yamauchi, is developing the ViViD-AFM V2.0—a next-generation nano-imaging system. This project focuses
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atmosphere-ocean interactions in the context of tropical cyclones. Our research group studies clouds in their various facets, from cloud microphysical processes to convective systems such as tropical cyclones
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approaches including cloning, cell culture, cell imaging, behavioral testing, bioinformatics. The lab is composed of researchers, doctoral and postdoctoral students, and technical staff working in close
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), digital image/volume correlation and targeted manipulation of polymeric chains (i.e., mechanophore additions) to gain a deeper insight into the failure process of polymeric rubbers. The PhD student will