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infrastructure, the candidate will have a unique opportunity to develop her/his research abilities. Workplace Workplace We offer Your job with impact: Become part of ETH Zurich, which not only supports your
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Tethys Robotics develops innovative underwater robotic solutions for inspection & investigation operations in challenging conditions. We serve clients such as large asset operators and industrial service providers operating in high-demand sectors including offshore wind, oil and gas, but also...
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tracking of minimally invasive robotic systems Autonomous control in uncertain anatomical environments Computer vision for image-guided robotic procedures (incl. endoscopic, MR-, US-guided) Surgical training
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to work independently as well as in a collaborative team Excellent communication skills in English (spoken and written) Workplace Workplace We offer Your career with impact: Become part of ETH Zurich, which
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motivated, creative, and able to work independently as well as in a collaborative team Excellent communication skills in English (spoken and written) Workplace Workplace We offer Your career with impact
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. Profile Applicants must hold a M.Sc. Diploma (120 ECTS points) or equivalent in civil, mechanical or electrical engineering, geosciences, physics, applied mathematics, computer sciences or related fields
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This computational project will employ calculations based on density functional theory (DFT) and extensions of DFT, such as DFT+U and DFT in combination with dynamical mean-field theory (DMFT). It is
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scientific publication. Source Data extraction from PDF documents to compile metadata of projects funded under ETH Board Open Research Data (ORD) program Contribute to data packages generated by openwashdata
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for the renewable energy sector via the M2A European Training Network (ETN), funded by the European Commission’s Horizon 2020 Marie Skłodowska-Curie programme. Project background M2A puts forward a robust methodology
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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 on transitioning from academic prototypes to commercial-grade industrial systems while ensuring complete IP...