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We are seeking a highly motivated and talented PhD student to join our team at the Institute of Environmental Engineering at EPFL (the Swiss Federal Institute of Technology Lausanne). The selected
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to offer services and solutions in the wide area of scientific computing from the provisioning of HPC resources, over scientific data analysis and management to research software engineering. SIS is
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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, public policy, international relations, or related fields (Position 2) Master’s degree or equivalent in environmental science, geography, ecological economics, computer science, data science, or related
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100%, Zurich, fixed-term The Atmospheric Physics group at the Institute for Atmospheric and Climate Science (IAC), ETH Zurich invites applications for a PhD position (3 to 4 years) investigating
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100%, Zurich, fixed-term The Grassland Sciences Group is a vibrant and international working group at the Department of Environmental Systems Science at ETH Zurich. We are looking for a reliable
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with the team Earth Observation of Agroecosystems at Agroscope, we are looking for a reliable, enthusiastic, and highly motivated postdoc with a passion for science to join our team. Our research focuses
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100%, Zurich, fixed-term The Astrophysical dust group at the ETH Zürich focuses on the science of cosmic dust nearby and inside the solar system and on the dust interaction with the solar wind
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Research Assistant / HiWi (8 hours/week) - Climate Opinion Data Analysis with R - Faculty of Busines
at the Faculty of Business and Economics, University of Basel, invites applications for a detail-oriented and dedicated Research Assistant (HiWi). This role is integral to our dynamic team's research on climate
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experience CH/EU/EFTA citizenship or a valid Swiss work permit Master’s degree (ETH, university) in engineering, mechatronics, computer science, or a related field Experience in machine learning, signal