219 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at ETH Zurich
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Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge
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in vivo imaging and computation, and in vivo molecular biology, where the Postdoc position (LBB, ETH Zurich) will be focusing on the further development of our multiphoton intravital imaging technology
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collaboration between Food Process Engineering and Food Structure Engineering at ETH Zürich. Plant-based meat alternatives are typically obtained via high-moisture extrusion cooking. Texturization is believed
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generalization. Profile You hold a Master's degree in Computer Science, Data Science, Biomedical Engineering, or a related field. You have strong Python programming skills and a proven track record in developing
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The ETH Phenomics Center at ETH Zurich has been established as a state-of-the art research & technology platform for laboratory animal sciences. The unit provides services to more than 40
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scientists and engineers. Project background Among other activities, ETH Zurich | Space is building the “Project Hub” that supports ETH-led missions and technology programs. One of the missions that is
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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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knowledge and technology from research to Swiss machine, electrical and metal industries. The research group Machining Processes and EDM at inspire offers in collaboration with the Chair of Artificial
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doctoral degree in mechanical, civil, aerospace, biomedical engineering, materials science, physics, or a related field. You have a strong background in computational solid mechanics and nonlinear continuum
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that act as autonomous micro-agents for perception and communication. Candidates ideally have a background in computer science, electrical engineering, or related fields, and a strong interest in machine