144 evolution "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at ETH Zurich in Switzerland
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innovative methods to leverage machine learning for numerical weather forecasting and climate modeling. Project background We are looking for a motivated Machine Learning Scientist to join the development team
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to the development of new theoretical and computational methods for the analysis and design of biological dynamical systems. The positions are funded by a European Research Council (ERC) Advanced Grant. The successful
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complex, dynamic, and multi-functional behaviors through their billions of years of evolution. Interfacing with living cells using advanced micro-/nano-electronics enables new sensing and actuation
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software development of their research. The position focuses on developing Python and C# libraries for research in architecture, civil engineering and extended reality (XR), building on the open-source
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Structuring and follow-up of project ideas Execution and coordination pre-studies Preparation of industry and grant proposals Development of collaboration opportunities with other research groups Development
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affect technology adoption, industrial development, policy design, and its socio-technical and political feedback effects. The project is embedded within ETH Zurich’s new Einstein School of Public Policy
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of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in society We are actively committed to a sustainable and climate-neutral
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of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in society We are actively committed to a sustainable and climate-neutral
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manufacturing and operations to support development, integration, test, launch, and on-orbit commissioning Provide on-orbit or mission support, including anomaly resolution and telemetry evaluation
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in management and organization research, not a technical AI-development role. The successful candidate will study AI as an organizational and strategic phenomenon, with a strong focus on theory-driven