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initiatives in blockchain data collection and management. The position focuses on developing innovative solutions for large-scale blockchain data analytics and management systems. Key Responsibilities Lead
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conduct cutting-edge research smart contract development, and implementation for innovative applications and code analysis with the scope of on-chain data collection. The candidate would also be involved in
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ability to conduct archival research on English materials ranging from 1300-1950; Experience working with large quantities of data and/or with databases; Excellent organisational skills; The ability to work
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setups, large-scale data acquisition and analysis, FPGA programming skills, and knowledge of Python and C++ are important assets. The project is highly interdisciplinary (microtechnology/electronics
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phenomenological and quantitative first-principles theory of static and dynamic chirality in crystalline materials. The specific sub-project advertised here seeks to understand the unexpectedly large measured
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are required to have: A completed PhD degree. Experience in machine-learning methods. Some skill in at least one of these topics: Large data sets analysis Statistics and uncertainty analysis (probabilistic
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are also expected. Profile PhD in Data Science, Computer Science, Mechatronics, Remote Sensing, Engineering Geology or other related discipline Demonstrated expertise in machine learning and computer vision
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apply for third party funding. Contributions to teaching within the Engineering Geology group are also expected. Profile PhD in Data Science, Computer Science, Mechatronics, Remote Sensing, Engineering
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15 Feb 2025 Job Information Organisation/Company ETH Zürich Research Field Computer science » Other Physics » Computational physics Physics » Other Researcher Profile Recognised Researcher (R2
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background in microfabrication. Further, experience with experimental setups, large-scale data acquisition and analysis, FPGA programming skills, and knowledge of Python and C++ are important assets