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cybersecurity allowing thus to validate and receive feedback from on-the-field cybersecurity practitioners. As generative AI (GenAI) platforms and large language models (LLMs) are increasingly integrated
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or international equivalent in an appropriate subject, including: biomedical sciences, medical physics. Further qualification such as an MRes is advantageous. If your first language is not English, you need
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one-fits-all model was proven unsuccessful. Large Language Models (LLMs) and knowledge graph models are expected to harmonize the formats and semantics but there are many open questions about their
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PhD position within the project "What's wrong? Ancient corrections in Greek papyri from Egypt" (AnCo
an excellent opportunity to study the Greek language as written by non-scholarly writers in antiquity. This project will collect, annotate and study the ancient corrections in this corpus to learn more about the
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Sciences and Humanities in accordance with the regulations of Ministerial Order No. 1039 of August 27, 2013 on the PhD Programme at the Universities and Certain Higher Artistic Educational Institutions
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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Researcher in Primate Communication / Language Evolution (m/f/d, E13 TV-L, 75%) The position will be filled for a fixed term until June 2029. Payment is at 75% of full time E13. The position is associated with
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for language qualifications: http://www.uib.no/en/med/115526/english-language-requirements-phd-admission About the PhD position (applies to university PhD positions): Organized research training (PhD program
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focusing on place and mobility in the 20th century. We welcome applications from candidates with backgrounds in Danish studies, Scandinavian studies, linguistics or ethnology. The successful candidate will
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practical experience in data science applied to medical or population genomics or other omic demonstrate experience in analyzing large omic data be proficient in one programming language be able to work