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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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Successful candidates are expected to run a world-class research and teaching program that emphasizes industrial translation in the field of manufacturing. We seek outstanding scientists with
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quality—while also being willing to handle the operational work required to make it happen—this position is for you. Project background This position is part of the strategic teaching development initiative
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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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to the fundamental theoretical, technological and interdisciplinary development of disciplines related to dynamical systems and control and to strengthen the leading position of ETH Zurich and D-MAVT in this field
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structure of giant planets such as super-Earth, ice giants, and gas giants Ultimately, by combining all the knowledge from those research outcomes, the group wants to propose the universal internal evolution
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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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) energy system modelling. The role also includes tasks such as website design (including the development of dashboards) and management, designing and contributing to wikis, and supporting ongoing teaching
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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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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