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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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, 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 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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portal. Applications via email or postal services will not be considered. For further information about the Food Structure Engineering Group, please visit our website . We want to point out that the pre
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range of disciplinary backgrounds, including but not limited to environmental policy, political science, science and technology studies, public policy, data science, computer science, and international
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development of the microbiome bioinformatics platform QIIME 2 and related bioinformatics tools. Key Qualifications Masters degree or bachelors degree plus equivalent experience in computer science, data science
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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
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students conduct in the department. Profile The ideal candidate will possess: A PhD in electrical engineering, biomedical engineering, computer science, or a related discipline, Experience in the analysis
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As a Senior Data Scientist working in the Research team of the Swiss Data Science Center, you will use your expertise in machine learning, statistical data science, computer vision, natural
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international campus with world-class infrastructure, including high performance computing. EPFL covers a wide spectrum of science and engineering and offers a fertile environment for research and cooperation