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to offer services and solutions in the wide area of scientific computing from the provisioning of HPC resources, over scientific data analysis and management to research software engineering. SIS is
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80%-100%, Zurich, permanent ETH Zurich is one of the world’s leading universities specializing in science and technology. It is renowned for its excellent education, its cutting-edge research, and
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informatics, especially chronic disease management (with emphasis on asthma) Machine learning / deep learning / artificial intelligence Profile Ideally, the candidate has a degree in Electrical Engineering and
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applied computational techniques, so the role combines tasks in typesetting (LaTeX) and coding (Python). Job description Typeset and format lecture notes and problem sets using LaTeX Assist in developing
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generation, feedback on handwritten or code exercises, and assistance in grading handwritten exams. You will work side by side with faculty, staff, and master’s students across ETH and turn applied research
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for recognizing handwritten mathematics, diagrams, and code, and manage systems that provide timely feedback or rubric-based scoring. In your role focusing on open-source engineering, you'll design clean, modular
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100%, Basel, fixed-term The Systems Physiology lab, led by Prof. Andreas Moor, at the Department of Biosystems Science and Engineering (D-BSSE) of ETH Zurich, located in Basel, is seeking a highly
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experience with building web applications, form builders, and automation tools (e.g. AEM, Make.com, Google Developer Console, Typeform, Inxmail, Mailchimp, Zapier, Wix Velo) Proficiency in JavaScript and
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access. The aim of our research is to advance the fundamental understanding of electrical insulation, motivated by the need to develop novel engineering solutions. We work closely with leading companies in
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knowledge and technology from academic research into the Swiss mechanical, electrical, and metal industries. The Machine Concepts research group at inspire AG is offering a position in the field of AI-driven