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the possibility that soil-borne pathogens can also strongly limit recruitment. Whether or not soil pathogens contribute to the evolution of the masting strategy depends on their spatio-temporal effects, and whether
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quality—while also being willing to handle the operational work required to make it happen—this position is for you. Project background This position is part of the strategic teaching development initiative
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interest in the development of heterogeneous catalysts and their in-depth characterization. Generally, LESE is focusing on the development, characterization and advancement of heterogeneous catalysts and
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80%-100%, Zurich, fixed-term The Biomaterials Engineering research group at the Institute for Biomechanics (IfB), D-HEST, ETH Zurich, develops biomaterials and advanced biomanufacturing systems
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a robust predictive framework that enables precise prediction of reaction outcomes. The project is part of an international collaboration with the German Priority Program on the “Utilization and
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involved in evolution Main tasks: Research: develop an internationally recognized research program funded by external sources (70%) Teaching: supervise Master and PhD students and participate in teaching
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they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche. In Roche’s Pharmaceutical Research and Early Development
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sessions and users. Job description Develop machine learning pipelines for EEG/EMG/EOG time series processing with a focus on event detection and real-time interaction. Investigate distribution shifts in
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. The focus is on developing AI-supported, sensor-based solutions for real-time monitoring and optimization of manufacturing processes. These solutions aim to assess process conditions during production
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research agenda to develop safe and effective measures to curb harmful online content and strengthen public discourse. As part of our efforts, we are using state-of-the-art machine learning techniques and