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professional development, but also actively contributes to positive change in society. We are actively committed to a sustainable and climate-neutral university . You can expect numerous benefits , such as
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the data and AIXD results Carry out standard tasks of debugging and documentation of the AIXD toolbox Profile You are a developer with a BSc or MSc in Computer Science or related fields, with proven
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, seismological monitoring products management, and quality control using industry-standard platforms such as SeisComP, SeedLink, and FDSN web services. The successful candidate will also support the development
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international collaborations, high-impact publications, and active involvement in student supervision. The position offers a unique opportunity to contribute to the development of innovative model structures
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develop and run the weather and climate model ICON. We are seeking a High Performance Computing (HPC) software engineer to further develop and optimize the ICON model (80-100%). Project background In order
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and/or the University of Zurich. Wyss Zurich supports projects focusing on developing treatment protocols and clinical therapies, as well as novel technologies and intelligent systems in the emerging
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. Commercial solutions avoid entanglement-based methods due to technical challenges, yet this limits the impact such technologies can have. In this project, we aim at further developing photonic integrated
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aimed at further developing teaching at ETH Zurich. You will support cross-functional projects, analyze education policy-relevant data, and help translate insights into impactful recommendations. Join the
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that are threatened by climate change. The PhD candidate will be based in the Plant Ecology Group at ETH Zürich (Prof. Jake Alexander), and work collaboratively with the Ecology Group at University of Basel (Prof
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Portfolio Projects. We are an in-foundation startup, building upon a multi-year research and development program focused on a novel class of surgical materials. With a strong foundation in translational