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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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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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The Department of Biomedicine is a joint effort between the University of Basel and the University Hospitals Basel. It unites basic and clinical scientists to advance our understanding of health and
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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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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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with our team of experienced scientists, postdocs and PhD students, you will develop materials that contribute to the development of the next generation of sustainable biocomposite materials. This project is
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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
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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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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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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