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in underground facilities. The project aims to evaluate sensor technologies, design and optimize multi-sensor monitoring networks, and develop advanced detection and localization algorithms adapted
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, design and optimize multi-sensor monitoring networks, and develop advanced detection and localization algorithms adapted to complex 3D underground geometries. The research will be conducted in close
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postdoctoral researcher with a strong background in sequence bioinformatics, algorithms and data structures. The successful candidate will join an interdisciplinary effort developing innovative diagnostic
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80%-100%, Zurich, fixed-term As ETH's central hub for artificial intelligence, the ETH AI Center bring together researchers of AI foundations, applications, and implications across all departments
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Systems, an ETH Zurich spin-off, developing high-precision force-torque sensors that give robots a refined sense of touch. Bota Systems sensors are accelerating Robotic AI research by providing the accurate
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. Empa is a research institution of the ETH Domain. Within our focus research Digital Health Solutions, we develop technologies for continuous long-term monitoring of individuals. At the Biomimetic
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flow reconstruction, enabling both real-time coarse diagnostics and high-fidelity offline velocity field estimation. Developing reinforcement learning (RL) algorithms for a multi-agent robotics system
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interested in applied machine learning and computer vision at the intersection of research and industrial deployment. Job description Develop and implement state-of-the-art computer vision algorithms
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develop cutting-edge algorithms and AI-based solutions for data processing and validation and provide scientific expertise for the implementation of future remote sensing missions. The team’s work bridges
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. QLAB is a newly funded research center under the Foundation for Polish Science's International Research Agenda (MAB) programme, focused on developing scalable hybrid quantum-classical technologies