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, Environmental and Geomatic Engineering (D-BAUG), has an opening for a researcher focused on data and process analysis to enable digitalized railway operations. Project background Safe and efficient railway
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applicants). Experience in complementary fields such as computational modelling, bioelectronics, or materials engineering is advantageous, as is a willingness to acquire new interdisciplinary skills
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ideal for students with strong technical and organizational skills, particularly those with experience in LaTeX and Python programming. Some background in economics is a plus but not strictly required
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to power outstanding events and digital outreach. Requirements A university degree, ideally with exposure to AI topics or international affairs Professional fluency in English; German is an asset Strong
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. Profile The ideal candidate will be a computer science student or a student with extensive practical programming experience. Interest in the social sciences and law is a big advantage. Workplace Workplace
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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
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, or materials science. Background in solid-state physics and a demonstrated interest in experimental research. Programming for scientific simulations. Proficiency in oral and written English. Additional assets
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a robust predictive framework that enables precise prediction of reaction outcomes. The project is part of an international collaboration with the German Priority Program on the “Utilization and
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Python-based agent pipelines (e.g., LangGraph) and integrate diverse large language models (LLMs) and multimodal vision models. Additionally, you'll build and maintain data flows specifically tailored
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, and innovation-driven work environment. Benefits according to ETH Zurich’s employee benefits program. chevron_right Working, teaching and research at ETH Zurich We value diversity In line with our