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the world, we work together to develop solutions for the global challenges of today and tomorrow.
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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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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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technologies in electronic textiles (e-textiles) for continuous health monitoring. Project background You will focus on developing new materials, sensors, techniques, and methodologies for health-related
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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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all over the world, we work together to develop solutions for the global challenges of today and tomorrow.
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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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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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for monitoring people’s health. You will focus on developing new solutions, electronics, algorithms and methods to assist individuals, physicians and sports coaches to effortlessly and continuously monitor health
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the future your field of activity might also include application of our cutting-edge Simulation environment Software MORe www.more-simulations.ch. Your Tasks Plan and perform experiments (DoE) in a laboratory