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university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop
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80%-100%, Zurich, fixed-term The Development Economics Group (DEC) at ETH Zurich is dedicated to empirical economics research that can inform more effective policies to reduce global poverty and
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supported by experts on all these disciplines working within the project and the role of the PhD will be more specifically to develop metrics to assess the regenerative capacity of Building projects
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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
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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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, 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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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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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
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dynamics shape the equity, effectiveness, and durability of biodiversity policies. The PhD candidates will develop interdisciplinary research at the intersection of environmental policy, data science, and
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80%-100%, Zurich, fixed-term ETH Zurich is one of the world’s leading universities specialising in science and technology. It is renowned for its excellent education, its cutting-edge fundamental