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information on NSM and its research and infrastructure can be found on our website . Questions regarding the position should be directed to Prof. Andrey Zheludev, email: zhelud@ethz.ch (no applications). Please
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of the Varda machine learning weather prediction system. The model is being trained using archive data from MeteoSwiss operational forecasts and observations, with the objective to provide accurate and fast
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the approach of Large Language models, the aim of the WeatherGenerator is to build a so-called foundation model for Weather and Climate. The model will be trained on various model data as well as many
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, the project integrates country-wide data analysis, water quality monitoring of spring networks and detailed mechanistic insights into subsurface flow routing and transit times. The project is closely aligned
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observation, experimentation, and synthetic thinking, it enables students to imagine creative and sustainable solutions on the scale of the city and landscape. More information under : Job description We
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lectures and hands-on exercises in Digital Design Methods I (DDM-I) for the first-semester MSc Landscape Architecture cohort Teaching Rhinoceros 3D and Grasshopper with a focus on data structures, data
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) Applications sent via e-mail or post will not be considered. For further information visit our group website , consult our published work , or contact Professor Martin Fussenegger (martin.fussenegger
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letters of recommendation A brief research plan (1 page) Applications sent via e-mail or postal services will not be considered. For further information, please visit our group website , consult our
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recommendation A brief research plan (1 page) Applications sent via e-mail or postal services will not be considered. For further information, please visit our group website consult our published work
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brief research plan (1 page) Applications sent via e-mail or post will not be considered. For further information visit our group website , consult our published work , or contact Professor Martin