201 web-programmer-developer-"https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at ETH Zurich in Switzerland
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Systems.”Funded through an ETH Zurich Career Seed Award, this project aims to develop scientific machine learning frameworks that integrate physics-based modeling with neural network architectures. The goal
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Profile Enrolled in a master’s program at a Swiss university / ETH with a strong focus on data science or statistical methods (data science, computer science, economics, social sciences, etc.) Excellent
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project “eDIAMOND: Efficient Distributed Intelligent Applications in Mobile-Network Dynamics” . The eDIAMOND project aims at developing new methods and systems for decentralized and distributed data-driven
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research environment and to contribute actively to teaching activities Workplace Workplace We offer Training opportunities Perspectives for career development Support programmes (e.g. mentoring) and networks
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and innovations directly into practice. The Laboratory of Energy Science and Engineering (D-MAVT) is working actively on developing numerical and experimental tools to probe single- and multiphase
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. 10007007; project start 01.10.2025: collaboration partners: J. Löffler, ETH Zürich; K. Klein, Universität Zürich; R. Müller, ETH Zürich, B. Schaller, Universitätsspital Bern) focusing on the development
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joint disease. Our overarching goal is to identify and target novel molecular mechanisms underlying inflammation and tissue degeneration, with the long-term objective of developing novel disease-modifying
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to work with leading experts across Europe to develop solutions for Decentralised Critical Infrastructure Asset Monitoring and Condition Assessment . This position focuses on next-generation distributed
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The Institute of Molecular Systems Biology (IMSB) at ETH Zurich invites applications for a Postdoctoral Researcher in Metabolomics & Technology Development in the laboratory of Prof. Dr. Nicola
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100%, Basel, fixed-term The Computational Biology (CoBi) group, led by Prof. Dagmar Iber, develops data-driven, mechanistic models of biological systems using advanced imaging and computational