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at the University of Zurich, the Department of Informatics at ETHZ and several further partners, we address the challenge by the combining microfluidic technology, sequencing and fast data analysis. In
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the Science in Perspective Program . Contribute to interdisciplinary research and teaching initiatives in partnership with computer science faculty, researchers, and students at ETH Zürich. Engage on topics
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contract extensions) Profile You meet the requirements for a doctoral program at ETH Zurich and have an excellent Master's or diploma in chemical engineering, chemistry, interdisciplinary sciences
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and waste-free chemical industry for a sustainable society. Jointly led by ETH Zurich and EPFL since 2020, the research program is funded by the Swiss National Science Foundation (SNSF) and currently
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methods in learning sciences and educational research You are preferably studying Computer Science or a related field You are interested in Learning Sciences or Human-Computer Interaction (HCI) You are
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using methods such as surveys, qualitative interviews, focus groups, or computational social science approaches Drive innovative research and policy projects on the ethics and governance of digital health
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interdisciplinary research projects that require multiple data sources Work with high-performance computing platforms for data storage and analysis Profile Degree in Earth sciences, data science, computer science
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communication skills are highly desirable) Keen interest in contributing to interdisciplinary research that combines Earth science and energy resources and ranges from fundamental to applied sciences and
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generalization. Profile You hold a Master's degree in Computer Science, Data Science, Biomedical Engineering, or a related field. You have strong Python programming skills and a proven track record in developing
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. Profile Ph.D. in Nuclear Engineering, Physics, Chemical Engineering, or a related field. Experience with computational chemistry and simulation tools. Prior knowledge of nuclear safety, severe accident