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datasets and apply modern econometric methods, including panel-data, time-series and causal-inference approaches. Research interests at the Chair cover a broad range of topics in empirical macroeconomics and
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challenges in fluid structure interaction (FSI) relevant to energy, process, and materials engineering, with a strong focus on: Advanced numerical modelling and simulation Experimental methods and sensor
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. Its mixed-methods research programme integrates macro-level theory with detailed, contextualised fieldwork across world regions, combines qualitative, quantitative, and computational approaches, and
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methods. Job description We are looking for individuals with a strong interest in applied macroeconomics, economic forecasting, data science, and empirical research. The main task will be to support the
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economics community in Zurich offers the opportunity to participate in numerous workshops and conferences spanning all fields of economics. A doctoral position at the intersection of computer science research
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, combining theoretical modeling, device design, and ultrafast THz experiments. Project background This project will combine advanced numerical modeling with experimental demonstrations to investigate
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images against reference pre-training and post-training workloads together with Apertus engineers, and maintain working launch examples Compute partnership and efficiency Serve as the primary technical
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100%, Zurich, fixed-term The Algorithms and Visualization Group in the Social Networks Lab at ETH Zürich is headed by Prof. Dr. Ulrik Brandes. We develop network data science methods
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mechanics and numerical modelling. The position is expected to start in September 2026 and is fully funded for 4 years. Job description You will develop a new coupled solid/ fluid mechanics-based numerical
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for Apertus models, from checkpoints during training to released models Make evaluations run quickly and at scale: parallel execution on Alps, efficient use of inference backends, caching, and result tracking