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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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to the study and teaching of the language and literature of ancient Greece and Rome, including Late Antiquity, as well as the late, medieval, and Neo-Latin language and literature. At the core of the program is
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. · Familiarity with data analysis pipelines within R or similar computational language. · Strong writing and oral communication skills. · Excellent analytical thinking and creative troubleshooting skills
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experimental phonetics. Applicants should have completed a Ph.D. degree in relevant fields (acoustic phonetics, digital signal processing, computer science) by the time of appointment, and preferably previous
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of computer simulation, Large Language Models, or machine learning etc, but a working knowledge of data science research processes from a relevant quantitative discipline, and strong coding skills are essential
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. 80 thesis based Bachelor and Masters students and visiting staff and students, who together contribute to an international research environment where English is the preferred language in the laboratory
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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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scientific research on computational linguistics, machine learning, practical applications of human language technology, and interdisciplinary work in computational social science and cognitive science. The
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, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff
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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