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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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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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) 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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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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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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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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development, but also actively contributes to positive change in society We are actively committed to a sustainable and climate-neutral university You can expect numerous benefits , such as public transport
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microfluidic platform for studying bacterial lung and bladder infections and testing new antibacterial drugs is currently developed. The platform includes a microfluidic system for culturing advanced in-vitro
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, Institute for Spatial and Landscape Planning in collaboration with Christoph Küffer at OST University of Applied Sciences in Institut für Landschaft und Freiraum, Maria Connen at ETH Zurich, Professor