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connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.
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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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develop optimization-based approaches inside immersive 3D systems that adapt interfaces to diverse physical environments, input modalities, and ergonomic needs adapt MR workflows dynamically to situational
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recruiters and not by artificial intelligence. We offer Your job with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change
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understanding and practical experience with machine learning approaches for biomarker discovery and predictive modeling, specifically with hands-on experience in developing and applying neuronal networks
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all over the world, we work together to develop solutions for the global challenges of today and tomorrow.
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. Project background The assistant will work with the instructor to typeset lecture slides, support the development of problem sets, and other presentation materials. The course involves formal modeling and
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develop and run the weather and climate model ICON. We are seeking a High Performance Computing (HPC) software engineer to further develop and optimize the ICON model (80-100%). Project background In order
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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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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