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group is dedicated to investigating human cognition and learning processes. We conduct theory-driven research about how people learn and how to develop learning environments to better support learning
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develop novel learning-based control and policy optimization techniques. We're looking for a skilled machine learning (ML) engineer to develop cutting-edge AI algorithms for digital twin applications in
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researchers across ETH accelerate their research with frontier AI. You will partner with research labs to understand their scientific challenges and co-develop agentic solutions: multi-step pipelines that plan
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modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with the macroscopic behavior of both engineering and natural systems and develop predictive tools
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Our research group focuses on the development of AI algorithms for industrial applications. The main scope of our activities is the optimization and automation of workflows and production systems
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the development of young interdisciplinary researchers in the field of theorigin and prevalence of life who have demonstrated scientific excellence in the early stages of their careers, and to enable the conditions
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power density limits of such planar magnetic devices, you will develop multi-physics models of planar magnetics. These models will comprehensively describe the (HF) losses in the windings, the parasitic
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collaboration with and support of this Lab is also desirable. Project background The ESA Chair is at the intersection of engineering and economics and involves developing and applying energy system models
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position focuses on the development of experimental and causal methods for efficient and robust evaluation of new product, policy, and technology in modern operational context of organizations. The research
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technologies and key expertise for omics research, the FGCZ provides research services and project support to the Zurich life science research community. We are looking for a Research Software Engineer at