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skills and programming experience either in Python, or C/C++, or equivalent. Prior experience in snow/ice modeling, field work and in working with large data sets will be advantageous for the project
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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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recognises that blockchain systems' large-scale characteristics emerge from the continuous interactions between diverse agents operating under specific protocols and rules. We employ sophisticated data
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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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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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, 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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28 Jan 2025 Job Information Organisation/Company ETH Zürich Research Field Architecture » Other Engineering » Other Researcher Profile First Stage Researcher (R1) Country Switzerland Application
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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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in semantic web, knowledge graphs, and large-scale data integration. 🔬 Interest in mass spectrometry, metabolomics, and chemodiversity is a plus. 🛠 Strong analytical, problem-solving, and
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available to ETH Zurich employees, which are designed to make their work and life easier. (more information here ) The DBT group is a large international team of architects, engineers, artists, and designers