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and Process Engineering at ETH Zurich. The lab is composed of a highly interdisciplinary and international team of motivated researchers, working on engineering and applying advanced polymeric
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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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university dedicated to advancing science and technology. Project background We are seeking a highly motivated PhD student to contribute to the further development of SimuCell3D, a high-performance C
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postodoctoral fellow will work together with a PhD student on the following tasks: Design and manufacture a microfluidic platform Develop, optimize and test biological assays Perform imaging, data analysis and
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prospect to obtain a PhD degree from ETH Zurich Multifaceted, applied work in a larger team with computer scientists and clinicians/microbiologists From bench to bedside: develop technology and methods
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)—a unique technology developed by our group—as a fully operational, camera-based underwater imaging system. RODI is designed to continuously detect, classify, and quantify drifting organisms in situ
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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
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. It fosters research excellence, industry innovation, and AI entrepreneurship. You will collaborate closely with other research scientists and engineers to transform cutting-edge research into robust
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on tropical cyclones. Job description The PhD work for this project will be conducted with the global aerosol-climate model ICON-HAM aerosol model coupled to the ETH ocean model. We are thus looking for a PhD
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for such purposes in a wide spectrum of industries, with significant breakthroughs in computer vision, natural language processing, and intelligent control. This PhD project aims to develop foundation models (FMs