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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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, with deep experience in appearance reconstruction and material modeling. Required Qualifications MSc in Computer Science or related field Strong background in computer vision and/or computer graphics
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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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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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acceleration Scientific computing and data libraries A keen interest in scientific computing, atmospheric sciences, or advanced instrumentation is highly advantageous Ability to work both independently and
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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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of Medical Microbiology at the University of Zurich, the Department of Informatics at ETHZ and several further partners, we address the challenge by the combining microfluidic technology, sequencing and fast
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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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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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computer scientists Contribution to open-source development and research-driven prototyping Integrate image processing and graphics pipelines using existing libraries (SLAM, Structure-from-Motion, radiance