220 computer-programmer-"https:" "https:" "UNIS" "https:" "https:" "https:" "https:" "I.E" positions at ETH Zurich
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is to build efficient and robust computational tools for analyzing complex engineering systems. Applications include structural dynamics and other dynamical systems relevant to real-world engineering
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We look forward to receiving your online application with the following documents: Motivation letter CV Academic transcripts At least 2 reference letters Application deadline: March 31st, 2026 Earliest starting date: June 2026 Please note that we exclusively accept applications submitted through...
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100%, Basel, fixed-term The Computational Evolution Group, led by Prof. Dr. Tanja Stadler, in the Department of Biosystems Science and Engineering (D-BSSE) at ETH Zürich works at the interface
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industry and other academic institutions within the consortium. After completing the program, you will have a thorough understanding of the process from research via innovation to industry implementation and
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policy, political economy, economics, sociology, computational social sciences, or a related field Strong knowledge of advanced quantitative methods is essential (e.g., econometrics, causal inference
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The Institute of Molecular Systems Biology at ETH Zurich is inviting applications for a Full Stack Web Developer for Life Science Research in the laboratory of Prof. Pedro Beltrao . The Beltrao
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component of solid-state transformers (SSTs). Such SSTs are required, for example, in future AI data centres, where power consumption per computer rack increases to levels of several hundred kilowatts or even
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of the student's PhD thesis. The PhD program at D-USYS (Department of Environmental Systems Science), ETH Zürich typically lasts three to four years on average. PhD students usually have to conduct research, study
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for the renewable energy sector via the M2A European Training Network (ETN), funded by the European Commission’s Horizon 2020 Marie Skłodowska-Curie programme. Project background M2A puts forward a robust methodology
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intervention and informed management decisions. In this project, we are generating a programmable rapid eDNA detection platform, based on CRISPR-Cas reactions, for fast and cost-effective organism detection