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commercializing startup technologies. You're a creative and highly motivated scientist who does well in a high-power scientific environment. You're excited by the opportunity to create and implement cutting-edge
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, Information Technology, Information Systems, Statistics, Data Science, Engineering, or a related field Strong machine learning and programming experience with the ability to work across frontend, backend, and embedded
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2025. Profile A PhD (or equivalent doctorate) in Business Administration, Management, or a related field (e.g., Psychology, Sociology, Engineering, or Economics). A strong publication record (or
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100%, Zurich, fixed-term We invite applications for a PhD position in the field of AI-driven Traffic Control and Antifragility in Urban Mobility Systems. The successful candidate will join a dynamic
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tools. We predict chemical reactivity and molecular properties using machine learning, artificial intelligence, computational chemistry, and cheminformatics. Our ultimate goal is the computer-aided design
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beyond the current state of the art are essential. This PhD position is part of a research project conducted in close collaboration with leading Swiss industry partners, offering a unique opportunity to
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To Apply To be considered, applications must be sent by email to bdlt-office[at]ifi.uzh.ch with the title “[Application] BDLT – PhD - Cryptoeconomics”, enclosing the following: Current CV University degrees
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analytics projects Mentor graduate students and supervise research activities Required Qualifications PhD in Computer Science, Data Science, or related fields Strong background in blockchain data collection
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communication Analyse smart contract code to support efforts of data collection from onchain data Ability to independently propose and deploy smart contract solutions for projects Lead projects on smart contract
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PhD diploma or equivalent Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. Questions