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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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links to the ETH AI Center and the Reliability and Risk Engineering Lab . Job description Collaborate with other researchers to develop high-fidelity emulators for large-scale, energy system optimization
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dynamical systems, and machine learning, with applications to synthetic biology and biomolecular circuit design. Our research develops mathematical and computational frameworks for understanding and
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fields, and Gaussian Splatting). Profile Degree in Computer Science or a related field, with several years of professional experience as a software engineer Strong proficiency in Python and C#, and
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implementation strategy to drive the LIFE Space Mission to successful launch and operations. To support the mission concept study, we opened two positions in Optical Engineering. Project background LIFE brings
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-content imaging, and computational modelling, we will systematically compare how 320 small molecules reshape metabolism in both 2D and 3D environments. The resulting dataset will reveal which drug-induced
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Supporting experimental documentation and basic data organization Training will be provided for biological sample preparation and experimental procedures. Profile Background in electrical engineering, sensors
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and engineering. Particular emphasis will be placed on contributions to the MSc Statistics and MSc Data Science programs. Assistant professorships have been established to promote the careers of younger
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with the ability to work across multiple projects in a collaborative academic environment. We are looking for someone with: Master’s degree in aerospace engineering, electrical engineering, computer
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of Bern). The position will be hosted at the Institute for Atmospheric and Climate Science at ETH Zurich and will be part of the NCCR CLIM+ programme which is funded by the Swiss National Science