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, grid operators, industrial associations, and federal institutions with technology-neutral and independent quantitative analysis. Project background FEN's research involves extensive use of diverse
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to optimally combine work and family life or other personal interests, we are able to support you with our modern employment conditions and the on-site infrastructure. This is a Tenure Track position. The
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to optimally combine work and family life or other personal interests, we are able to support you with our modern employment conditions and the on-site infrastructure. Your initial employment contract is limited
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to optimally combine work and family life or other personal interests, we are able to support you with our modern employment conditions and the on-site infrastructure. Additional comments For further information
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for further optimization in medicinal chemistry is a primary focus. We closely collaborate with our therapeutic areas and functions to convert hypotheses into innovative therapeutics. The opportunity We
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an interest in bridging rigorous theoretical insights with challenging real-world tasks. They will also explore reinforcement learning strategies to optimize decision-making policies in complex
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the laboratory's past and ongoing work within the context of AI-guided Design, Inverse Design, and Optimization across different application domains. In particular, we are developing scientific research
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. This position is part of a collaborative project funded by the Swiss National Science Foundation, which supports multiple researchers, at ETH Zurich and at partner universities, and focuses on the development
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100%, Zurich, fixed-term The Group for Sustainability and Technology (SusTec) within the Department of Management, Technology, and Economics of ETH Zurich investigates the role of policy
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optimization of community PV systems, e-mobility, and edge data center integration at the Swiss pilot site hosted at Empa’s NEST demonstrator. The role involves coordinating the deployment and validation