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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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job with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in society We are actively committed to a sustainable
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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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Your responsibilities will include hands-on product development, where you'll ship new features in a React and TypeScript front-end designed for both desktop and mobile users. You will also extend
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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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, robust event detection, and modeling shifts across sessions and users. Job description Develop machine learning pipelines for time series processing with a focus on event detection and real-time
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/d) 50%, Zürich, unbefristet 30.07.2025 | Informatikdienste Research Software Engineer 100%, Zurich, fixed-term 30.07.2025 | Scientific
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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 state-of-the-art of model-based planning support for transport and urban systems under uncertainty. The doctorate will develop new tools and methods that integrate large-scale agent-based modelling
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track. We then develop and evaluate a robust cannabis-driving detection model before and while driving. Ultimately, we are working towards a scalable digital biomarker platform for in-vehicle driver state