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infrastructure brings together physicists, earth and planetary scientists, chemists and biologists to understand the conditions and the mechanisms that enable life to emerge. Developing reliable methods to
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institutional regulations. Project background Understanding human motivation requires methods that go beyond questionnaires and simplified computer-based tasks. This project aims to develop more naturalistic, yet
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Interaction to redefine how machines interpret human actions, anticipate intentions, and interact seamlessly with people in various settings. The successful candidate will be developing new methods for Real
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be developing new methods for remote sensing. Profile PhD in Computer Vision Background in Computer Science Research experience in 3D Computer Vision, remote sensing and aerial imagery Strong
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. This project develops robust system and component design methods, an integrated manufacturing platform, and multi-material joining techniques to efficiently produce small-scale turbomachinery
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Curious, persistent, and motivated to learn new methods and troubleshoot technical challenges Excellent written and spoken English communication skills We offer A dynamic and multicultural working
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researchers in architecture and civil engineering. It is known for its development of tools, design methods, large-scale analyses and built prototypes aimed at enabling the Architecture, Engineering and
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personality. Detail-oriented, able to multitask and perform precise work, as well as record and report results with clarity and details. Proactive and motivated to learn and master new methods and
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analysis in the framework for the project CARE (Cross-modal AI for Relief Efforts), a collaborative project between EPFL, ETH and the ICRC. You will innovate in foundational methods for jointly
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of methods for converting 3D printed polymers into metals. We previously pioneered a technology called Hydrogel Infusion Additive Manufacturing (HIAM) that is capable of transforming polymers into