213 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData" 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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. 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
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Your profile We seek candidates with an outstanding research record in deep learning, in particular in one or several of the following areas: modeling and architecture development, domain adaptation & continual learning, agentic AI, uncertainty estimates, scalability and efficiency, personalized...