389 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" "https:" "J. F" positions in Switzerland
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experimental and simulated data, leveraging AI and machine learning techniques Contribute to novel computational optimisation methods for machining processes Develop and implement automation solutions, including
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research groups (from University of Zurich and University of St.Gallen). The ETH AI Center Fellowship program is one of Europe’s premier Post-Doc programs focused on advancing interdisciplinary AI research
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The ETH AI Center offers a unique fellowship program for doctoral students, designed to foster interdisciplinary collaboration and a positive impact to society. The ETH AI Center promotes
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at the interface of computational modeling, biomedical data analysis, and clinical neuroscience. Job description Support clinical trial planning, including modeling of historical control groups and the development
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policy, political economy, economics, sociology, computational social sciences, or a related field Strong knowledge of advanced quantitative methods is essential (e.g., econometrics, causal inference
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100%, Zurich, fixed-term We invite applications for a PhD position in the field of quantum computing, to be advised by Dominik Hangleiter and co-advised by Renato Renner. In our group in Zurich
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, engineering, physics, or a related field, and with strong interest in the cryosphere. The successful candidate has experience in computational data analysis or numerical modelling. You are eager to work
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The Leadership Companion is an AI-based project at ETH Zurich that focuses on leadership and collaboration in organizations. The project is currently in the research and prototyping phase. Together with partners from academia and industry, we are working on addressing questions and further...
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. Position details: Start date: Jan. 1st 2026 or by agreement Funding: Fully funded PhD position (ca. 4 years, final admission to Doctoral Program after successful Aptitude Colloquium after 1.5 years, annual
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German) Contribute to the activities at the Political Science department Your profile Master's degree in political science or related discipline Skills in quantitative methods and/or computational methods