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Field
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Computation Zero-Knowledge Proofs Fully Homomorphic Encryption Post-doc Positions Multiple positions are open at the level of post-doctoral researcher with two-year term. Positions will remain open until filled
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-collected data for the purpose of generating new insights about psychological processes Publish high quality research in the fields of machine learning, computational linguistics, cognitive psychology, and/or
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discussions for other timelines are possible. Qualifications: PhD in a broadly related field (e.g., cognitive science, computer science, psychology, learning sciences, linguistics, speech-language-hearing
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. Experience with wearable and sensors placed in the environment. Knowledge of characteristics associated with mild cognitive impairment capturable with digital interfaces. Experience with agentic large language
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numerical modelling. Ability to participate in research meetings to troubleshoot research problems and discuss the direction of research. Skills Fluency in at least one scientific computer language (e.g., C
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, computer science, or applied mathematics, and superb computer programming skills. Recommended skills include an advanced command of Python and a language in the C family. Ability and a strong desire to work in a
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academia or industry, or other activities. An inquisitivce mind-set with a strong interest in exploring new ways of experimentation Good language skills in English (the professional language of communication
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
Posting Information Posting Details Department Renaissance Computing Inst - 637100 Posting Open Date 07/29/2025 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position
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packages for the successful candidate. Topics of Interests Post-Quantum Cryptography Multi-Party Computation Zero-Knowledge Proofs Fully Homomorphic Encryption Post-doc Position The position is open at
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first experiments of the future quantum-computer technology that is orders of magnitude more efficient than existing quantum processors. Join us in shaping the future! As a result of five ERC grants