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Your position Our group conducts research at the intersection of artificial intelligence (AI) and pediatric healthcare, developing AI and machine learning (ML) methods to address real-world clinical
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Intelligence in Mechanics and Manufacturing (AIMM) at ETH Zurich, is offering a position in the field of data-driven optimization. Project background Our research focuses on the development and application
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The PhD position is part of an interdisciplinary research project at the intersection of robotics and biomedical engineering, conducted in close collaboration with neurosurgeons from the University
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, processing, and interpretation of satellite and drone data, as well as (2) the development of operational applications for emerging intelligent earth observation technologies. Our team develops cutting-edge
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mission is to become a world-class computer science and artificial intelligence research institution. In just two years, INSAIT has already attracted outstanding international faculty, postdocs, and PhD
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tools. We predict chemical reactivity and molecular properties using machine learning, artificial intelligence, computational chemistry, and cheminformatics. Our ultimate goal is the computer-aided design
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the SVT course programme Contributing to the operation of the group and the Institute Profile You ideally have a Master’s degree in computer science, artificial intelligence, transportation engineering, or
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Education & Background: A Master’s degree (ETH, university) in engineering, computer science, or a related field A strong academic record, meeting ETH Zurich’s PhD admission requirements Technical skills
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100%, Zurich, fixed-term The Robotic Materials group is looking for a highly motivated PhD candidate for the topic of sustainable robotics. The Robotic Materials group headed by Prof. Hedan Bai
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, textiles, artificial intelligence, edge computing, biomedical engineering, physiology, and technology for wearable/mobile devices meet, at one of the world’s leading universities focusing on research and