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benefits according to ETH regulations, and support for conference travel, computing and career development. Zurich consistently ranks among the world’s most liveable cities. chevron_right Working, teaching
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and institutions that interact with them. You should bring: A master’s degree in computer science, machine learning, HCI, or a related field. Strong foundations in machine learning and familiarity with
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working as part of team Sound computer skills (MSOffice, SAP) Flair for solution-oriented, unbureaucratic approaches Workplace Workplace We offer Work-Life Balance Flexible working models (such as part-time
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Our research group focuses on the development of AI algorithms for industrial applications. The main scope of our activities is the optimization and automation of workflows and production systems. Within this field, we are continuously developing and adopting various algorithms for multiple...
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engineering, and theoretical electromagnetism. The project offers the opportunity to work closely with internationally recognized researchers while contributing to an ambitious research program at the forefront
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The Binnig and Rohrer Nanotechnology Center (BRNC) at ETH Zurich is a state-of-the-art research facility providing advanced technology, infrastructure, and expertise for nanoscience and nanotechnology. Our operations team manages more than 1,000 m² of semiconductor cleanroom and laboratory space...
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We are looking for a research assistant (with a workload of 20%) to join our ongoing research program on online discourse and how to improve it The primary responsibility lies with our data pipeline
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analysis methods and high-performance computing to develop solutions for specific societal and economic challenges. Located at the D4 Business Village in Root, close to Lucerne, ETH Swiss GeoLab works at
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difference that script strictness, an aspiration with human employees, becomes an enforceable parameter with a large language model. The programme comprises laboratory experiments with live voice interaction
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, MATLAB, or similar) Motivation to combine computational modeling with experimental validation in a highly collaborative environment Workplace Workplace We offer A unique environment combining theory