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that ingest raw on-chain data (blocks, transactions, smart-contract events) from public blockchains into research-grade databases Developing statistical, graph, and/or machine learning models to study
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laude level. You are interested in both Machine Learning and Symbolic/Logic-based AI methods. You strive for excellence and have a scientific mindset. You are a loyal team player, who can work
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security and machine learning, security measures and usability aspects of security, security of distributed systems, as well as anonymity and privacy issues. Preference may be given to candidates who develop
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. Kinetic rates will be calculated on the fly from molecular dynamics simulations using machine learning potentials. This approach will provide guidelines to steer the formation process of zeolites by tuning
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experience with data analysis Enthusiastic team player Basic understanding of immunology Desirable but not required Experience in single-cell or spatial data analysis Machine learning experience Key personal
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… Requirements Research FieldEngineering » Electrical engineeringEducation LevelMaster Degree or equivalent Skills/Qualifications Who you are You hold a PhD or Master’s degree in Electrical Engineering, Computer
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information about the role, please contact Prof. Radu State Your profile Strong background in AI, machine learning, or multi-agent systems, ideally with interest in financial systems, decentralized ledgers
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to use qualitative and quantitative tools to measure technological competition, as well as markets and patent databases, which will then be analysed using network analysis and machine learning. Empirically
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to model zeolite formation as a dynamic network of growing and dissolving clusters. Kinetic rates will be calculated on the fly from molecular dynamics simulations using machine learning potentials
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the controlled flow at tunable temperature and photopolymerization of the precursor. The practical work will be complemented by fluid mechanics computer simulations, including solutions employing machine learning