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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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. 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
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research in mineralogy, dynamics, and evolution of deep planetary interiors. Project background The Experimental Mineral Physics group applies high-pressure and high-temperature experimental approach mainly
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offered by the ASVZ , childcare and attractive pension benefits . Training opportunities Perspectives for career development Support programmes (e.g., mentoring) and networks Fruitful working environment
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We are seeking a highly motivated and interdisciplinary Postdoctoral Researcher to join our team in developing a cutting-edge nutrient prediction platform. This project integrates machine learning
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Our research group focuses on the development of AI algorithms for industrial applications. The main scope of our activities is the optimization and automation of workflows and production systems
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the literature, design and develop novel systems, plan and execute experiments, and report findings in articles to be published at top venues according to the project’s schedule. Periodic meetings and feedback