166 computer-science-programming-languages-"St"-"University-of-St"-"St" positions at ETH Zurich
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the ETH Zurich employee benefits program chevron_right Working, teaching and research at ETH Zurich We value diversity In line with our values , ETH Zurich encourages an inclusive culture. We promote
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Required experience: CH/EU/EFTA citizenship or a valid work permit for Switzerland A Master’s degree (ETH, university) in engineering, computer science, or a related field Strong academic performance meeting
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biotechnology, biochemistry, microbiology or a related field. Candidates should be fluent in English, enthusiastic for experimental work - a flair for computational work and chemistry will be considered an asset
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, positive attitude, and passion of research. Preferred Qualifications Interest in carbon crediting, carbon offsets, and the world of carbon finance. Competency in using a programming language (R, Python
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more comprehensible for you. The Research Analytics Services group, hosted by the section Research Support Services and Acquisitions, is hiring a specialist in library and information science as team
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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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information on the doctoral program in the Department of Environmental Systems Sciences (USYS), within which the Plant Ecology Group is located. This project specifically offers outstanding opportunities
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DSL. Additionally, you will work on integrating the existing model with the new DSL-based components to ensure the system is production-ready. Profile MSc in Software Engineering, Computer Science
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to contribute cutting-edge research that informs investment decisions and shapes the future of sustainable finance? The Sustainable Finance Group (SustFin) within the Department of Management, Technology, and
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The NOMIS Foundation–ETH Fellowship Programme supports postdoctoral researchers at ETH Zurich within the Centre for Origin and Prevalence of Life (COPL). The programme is intended to foster