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the Universities of Geneva, Bern, Zurich and the Swiss Federal Institute of Technology in Zurich (ETHZ). The successful applicant will be able to take advantage of this unique collaborative framework. The University
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), Agroscope is attached to the Swiss Federal Department of Economic Affairs, Education and Research EAER. Description - Validate and further develop existing mineralisation models with regard to their practical
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science, statistics, applied mathematics, or related fields Proficiency in developing and deploying machine learning models (e.g., using Python, R) Experience in data wrangling and feature engineering
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note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. Further information about the institute can
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science, statistics, applied mathematics, or related fields Proficiency in developing and deploying machine learning models (e.g., using Python, R) Experience in data wrangling and feature engineering
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Resilience in the Digital Age The Mobiliar Lab for Analytics at ETH Zurich develops and tests digital interactions using emerging technologies and artificial intelligence. As a joint initiative of ETH Zurich
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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than
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, you will experience a range of exciting challenges, including multimodal data analysis through graphical models, developing innovative technologies for clinical decision support, monitoring health
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their natural environment. The Department of Animal Migration at the Max Planck Institute of Animal Behavior would like to fill the following positions. The workplace will be in Constance, Germany. PhD position
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nuclear, fossil, and (modern) renewables. In cooperation with external partners (e.g., the Swiss Federal Institute of Technology (ETHZ) and many others), LEA conducts environmental and economic technology