300 computer-science-intern "https:" "https:" "https:" "https:" "U.S" uni jobs in Switzerland
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60%-80%, Zurich, fixed-term The Laboratory of Ecosystems and Landscape Evolution (ELE) and the Genome Engineering and Measurement Lab (GEML) at ETH Zurich are seeking a laboratory technician to join
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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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interest and motivation to contribute to the project’s goals (see Job description section above) Outstanding academic record, including an excellent Master’s degree in Computer Science, Engineering, or other
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, reliability, and robustness of RAI. The successful candidate must be an outstanding researcher in their field of computer science, machine learning, AI, applied mathematics or statistics with a proven track
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Physics or Engineering with a specialization in precision instrumentation. Workplace Workplace We offer This position offers a unique bridge between high-level academic research at ETH Zurich and the fast
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bioinformatician Support the training of Institute of Microbiology members in bioinformatics and computational biology through individual consultations and the organisation of training sessions (e.g. workshops
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operations that are yet to be fully understood. In this context, it is evident that the operation, control, and planning of power systems will soon be pushed to their limits. Therefore, new computational
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100%, Zurich, fixed-term The Membrane and Interfacial Science Lab in the Department of Mechanical and Process Engineering (D-MAVT) at ETH Zürich designs materials and processes that enable more
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, engineering, physics, or a related field, and with strong interest in the cryosphere. The successful candidate has experience in computational data analysis or numerical modelling. You are eager to work
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, Biostatistics, Software Engineering, Systems Operations, and Screening & Lab Automation. Embedded in this multi-disciplinary environment, the Clinical Bioinformatics group translates computational biology into