75 programming-"the"-"DAAD"-"IMPRS-ML"-"UCL"-"FEMTO-ST-institute" positions at ETH Zurich in Switzerland
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. Profile Enrolled in a master’s program at a Swiss university / ETH with a strong focus on data science (data science, computer science, economics, social sciences, etc.) Experience programming in R
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. These positions will contribute to a broader research program focused on devising pathways toward a just and sustainable biosphere by examining how governance systems, digital technologies, and socioeconomic
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of complex tools or systems. Technical Skills: Excellent programming skills (e.g., Python, C++, or similar). Experience with data management, database systems, and API development. Knowledge of software
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developing or applying methods for micro-earthquake detection, quantification, or catalogue analysis. Programming skills in Python; experience in scientific software development and C++ would be regarded
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, biomedical engineering, mechanical engineering, or related discipline Solid background in the physics of microbubbles, ultrasound, or acoustics Experience with Verasonics ultrasound systems Strong programming
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The Chair of Sustainable Construction at ETH Zurich invites applications for a 4-year PhD position within the SNF-funded National Research Programme NRP82 project “NewUrbES – Co-creating new urban
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-hand data collection, such as questionnaire design. Very good knowledge of written and spoken English (C1 or higher). (Some) knowledge of programming and data analysis and a willingness to familiarize
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, mechanical, or industrial engineering. You are driven by an interest in developing novel theory and methods for solving real-world problems. Programming, modelling, and data analysis skills in python and
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of the staff, efficient use of the budget, timely delivery of research, innovation, and entrepreneurship programs. The Managing Director will actively participate in research and lead excellent outreach within
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projects will combine molecular engineering, cell programming, and chemical–biological interfacing to engineer human cells using synthetic gene circuits and biosensing platforms, develop novel biosensing