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conclude on December 31st 2029. The goal of this research effort is to apply machine learning (ML) techniques, in particular (equivariant) graph neural networks to accelerate the creation of all physical
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. The opportunity to work with the world-first imaging device tailored to study drift in riverine ecosystems. Access to an extensive network within the field of Ecohydraulics. Scientific independence, visibility and
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soft robotic systems Track 2: Soft optical actuator and network Design and fabrication of high-performance soft optical actuator Design, modeling, and fabrication of soft optical network for light
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success. Additionally, Empa offers outstanding infrastructure, career support, networking opportunities, and competitive salaries. The position is available from January 2026 or after negotiation
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approaches, high-throughput methodologies. Excellent communication skills. Interest in mathematical modeling of metabolic and regulatory/signaling network. You will have access to state-of-the-art research