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. You feel confident to work with big data and present the findings in a clear and concise way. You hold a Master's degree, preferably in Finance, Economics, Econometrics, or related fields, and are
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work closely with another PhD student and a post-doc to collectively investigate the failure mechanisms and the generation of high-quality sensor data. Your profile MSc in Materials Science or Mechanical
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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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researchers at conferences and more. What will make you stand out A proactive, creative mindset when it comes to solving complex scientific and engineering challenges. A willingness to work on large data
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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