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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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100%, Basel, fixed-term ETH Zurich is a world-leading university dedicated to advancing science and technology. The advertised position is based in the Computational Biology (CoBi) group led by Prof
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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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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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ETH Zurich, Mathematics Position ID: 1118-PDAPDE [#26975] Position Title: Position Type: Postdoctoral Position Location: Zurich, Zurich 8092, Switzerland [map ] Subject Area: Analysis and Partial Differential Equations Appl Deadline: 2025/11/03 11:59PM (posted 2025/09/05, listed until...
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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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, 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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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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100%, Zurich, fixed-term The Laboratory for High Power Electronic Systems (HPE) at the Department of Information Technology and Electrical Engineering of ETH Zurich conducts internationally leading
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100%, Basel, fixed-term ETH Zurich is a world-leading university dedicated to advancing science and technology. The advertised position is based in the Computational Biology (CoBi) group led by Prof