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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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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
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80%-100%, Zurich, fixed-term The Functional Genomics Center Zurich (FGCZ) is a joint state-of-the-art research and training facility of the ETH Zurich and the University of Zurich. With the latest
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to developing next-generation microbial technologies for the degradation of persistent pollutants like PFAS. Using environmental isolates and advanced microbial screening, we engineer bacterial consortia for use
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-selection is carried out by the responsible recruiters and not by artificial intelligence. About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We
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encourages excellence, individual recognition and responsibility. T he Faculty of Biology and Medicine ( FBM ) of the University of Lausanne is inviting applications for position of: Tenure-track Assistant