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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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. Empa is a research institution of the ETH Domain. The Urban Energy Systems Laboratory (UESL) pioneers strategies, solutions, and methods to support the development of sustainable, resilient, and
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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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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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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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. Together with our team of experienced scientists, postdocs and PhD students, you will develop materials that contribute to the development of the next generation of bio-based hybrid materials. The goal
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. Together with our team of experienced scientists, postdocs and PhD students, you will develop materials that contribute to the development of the next generation of advanced hydrogels for wound care
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of existing Startup & Entrepreneurship Programs, as well as developing new ones. Ensuring timely and excellent delivery, you will build a stronger innovation community locally, and globally. Passionate about
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. Support high-quality trial delivery by managing country-specific risks and collaborating with affiliate teams and leadership to align local needs with global clinical development goals and regional
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through the development of strategies for long-term data quality improvement and data curation, including persistent identifiers for organizations, researchers and funding Supporting the writing of reports