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knowledge and technology from research to Swiss machine, electrical and metal industries. The research group Machining Processes and EDM at inspire offers in collaboration with the Chair of Artificial
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, collaboration, and communication. The candidate will work closely with laboratory members (experimental and computational) and engage in planning projects and experiments, developing computational methods
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the full workflow. Help push technology forward within a rapidly evolving environment. Profile MSc or PhD in Computational Science, Computer Science, or a related field Experience in software development
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and refactoring source code for computational and data science applications both on the methodological and implementation side or deploying and integrating applications to adequate compute environments
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of the following areas (please address these in the cover letter): Machine Learning, Computational Simulations (e.g., CFD, FEA, etc.), domain expertise in Engineering problems, familiarity with High
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. Profile Education: Master’s or PhD in Computer Science, Data Science, Software Engineering, or a related field. Experience: Proven track record in data engineering, software development, and integration
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support productivity workflows, guided by emerging large language models. Candidates ideally have a background in Computer Science and prior experience with human-computer interaction (e.g., through courses
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At the professorship of Geosensors and Engineering Geodesy (GSEG) at ETH Zürich we carry out cutting-edge research and teaching in the areas of geomonitoring, reality capture, high precision
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Engineering of ETH Zurich is a community of approximately 50 researchers from more than 20 countries working on the development of methods and computational tools for automation, exploring their potential
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. About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct