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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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Center, the ETH AI Center, and large industry partners. Advising PhD and Master’s students will be an integral part of your role. You will also be involved in some of the group’s teaching activities and
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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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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