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) energy system modelling. The role also includes tasks such as website design (including the development of dashboards) and management, designing and contributing to wikis, and supporting ongoing teaching
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to support a circular bioeconomy. We are seeking a highly motivated postdoctoral researcher to develop and apply machine‑learning and data‑science methods, with a focus on computer vision, to enhance wood
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become more adaptive, efficient and context-aware, creating the foundations for the next generation of wearable and augmented reality platforms. The research focuses on developing novel ML methods
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core part of your project will be interpreting the data and developing scientific hypotheses about the atmospheric processes that control the cycling of selenium and other trace elements. You will work
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spatially aware predictive methods, tools will be developed to simulate the impact of system changes in selected scenarios, supporting the transition to a fully electric car-sharing service. These methods
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discovery and development through in vitro modelling of in-patient conditions in order to address antibiotic resistance, a problem of global importance. To reach this goal, AntiResist has assembled a panel of
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probe microscopy. Our research focuses on using single electron spins in diamond as sensors to explore magnetic phenomena at the nanoscale. This doctoral project will center around the development and
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development of ETH Zurich, aiming to further strengthen its scientific excellence in research and education, reinforcing its position as a globally leading university, and nurturing a positive institutional
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. Empa is a research institution of the ETH Domain. The Urban Energy Systems Laboratory (UESL) pioneers strategies, solutions, and methods to support the development of sustainable, resilient, and
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. The aim of the project is to extend cycle life by the controlled release of active lithium. Your tasks Develop lithiation agents to recover lost active lithium during operation of the battery Develop