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. Profile The ideal candidate will be a computer science student or a student with extensive practical programming experience. Interest in the social sciences and law is a big advantage. Workplace Workplace
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,3 ,4 ,5 ). The group has worked on a large variety of viral and bacterial pathogens of humans and animals and uses mostly E.coli, bacteriophages and plasmids to study epidemiological and evolutionary
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of large data analyses as well as very good English language skills are mandatory. Knowledge of the German language and experiences with stakeholder interactions are a plus. Workplace Workplace We offer Your
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for decentralized and distributed data-driven methods for Federated Learning on resource-constrained networks. Your research within the project will contribute towards your doctoral degree at ETH Zurich. You will be
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university near Zurich. You have an interest in law or policy diffusion, privacy law, and international comparative law. Knowledge of privacy / data protection law is highly desirable. You have excellent
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application of deep learning models. Experience with data pipelines following FAIR principles, with skills in compressed sensing, image noise reduction and big data management, cloud computing, high performance
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focuses specifically on using and refining the ICON model in Large-Eddy Mode (ICON-LEM) to simulate the cloud seeding experiments conducted during the project and improve process-level parameterizations
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seamless data transfer between the office and the construction site, with a focus on visualization, visual analytics, explainable ML/AI or Large Language Models. Integrated and continuous information
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, textual, and temporal data for management applications. Recently awarded several major grants, our center is at the forefront of bridging sophisticated AI research with practical business applications. The
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23.07.2025 | Facility Services Specialist in library and information sciences 80%-100%, Zurich, fixed-term 23.07.2025 | ETH-Bibliothek Postdoc in