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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days 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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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
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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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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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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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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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doctoral thesis and of your master thesis, for each three pages, plus table of contents, and review and grading reports copy of the certificate of your completed doctoral and master program proof of language
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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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popular computer language (e.g. Matlab, Python), and familiarity with topological and geometric data analyses. Candidates will have excellent communication skills, enabling them to engage with the entire
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for Biomolecular Research at the Faculty of Science MU is focused on the study of bio(macro)molecules at the atomic level using experimental and computational methods. Equipment for nuclear magnetic resonance