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systems. The work combines multisensor data, AI methods, physical models, experiments, and industrial validation. Job description Develop hybrid physical and data-driven models for condition assessment and
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-world deployment by enabling quick data collection, calibration, and policy training while ensuring safety and efficiency. For this, we develop novel learning-based control and policy optimization
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Non-tenure-track/postdoctoral Zürich, Switzerland Apply by Nov 01, 2026 ETH Zurich Institute for Mathematical Research (FIM) Rämistrasse 101 8092 Zürich Switzerland Keyboard shortcuts Map data ©2026
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questions about the positions, you are welcome to reach out to the same address. https://www.msl.mgt.tum.de/en/mt/job-offerings/#gallery25250 Equal Opportunity & Data Protection ETH/TUM strives to
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address these needs, the first phase of the Future Health Technologies Programme (FHT1) at the Singapore-ETH Centre (SEC) (https://fht.ethz.ch) developed and piloted innovative upper limb
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innovative research and achieve decisive progress. Further details on NCCR Genesis are available on its website https://nccr-genesis.ch . Job description The successful candidate will investigate the
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Technologies Programme (FHT1) at the Singapore-ETH Centre (SEC) (https://fht.ethz.ch)developed and piloted innovative upper limb rehabilitation technologies and evaluated them in a clinical context, both