432 computer-programmer-"https:" "https:" "UNIS" "https:" "https:" "https:" "https:" "UNIV" "Univ" positions in Switzerland
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of the work requires a very high level of experimental skills. You need to program the hybrid printer and possibly modify the device to be able achieve more freedom in printing and milling of the 3D printed SiC
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degree in biomedical engineering, mechanical engineering or related relevant field A demonstrated and substantial experience with computational simulation methods, i.e. finite element analysis English
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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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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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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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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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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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apply bioinformatics and statistical genomics approaches to characterize trait-associated sequence variation. We offer two PhD positions at the interface of computational and statistical genomics, and
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, optimized for high-performance computing (HPC) environments Classifying ice crystal habits using Convolutional Neural Networks (CNNs) Providing intuitive graphical interfaces for user interaction and data