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Engineering field in computer science, or related field. Strong expertise in natural language processing (NLP) and large language models (LLM) Over 1-year research experience in the above required areas
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, FSE, ISSTA, TSE, TOSEM) in the areas of blockchain security, smart contract analysis, program analysis or decentralized systems. Demonstrated expertise in large language models (LLMs) and their
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language models (LLMs) and their application to software analysis, automated program repair, and security reasoning. Experience in system-level security, protocol robustness, smart contract code auditing
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, automatic testing, program synthesis Excellent background and experience in programming language, especially python Good communication and report-writing skills Strong responsibility for research and work We
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to this position. Admission to the PhD programme For employment in the PhD position, you must be qualified for admission to the PhD programme at the Faculty of Humanities, Social Sciences and Education
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Training Group (RTG) “Activation of anti-Microbial Effectors (ACME)” (coordinator: Dirk Schlüter, Hannover) funded by the German Research Foundation. The central aim of the program is to give highly
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infrastructure security R&D. Job Requirements: A PhD in Computer Science, Software Engineering, Artificial Intelligence, or a related discipline. Proven research track record demonstrated by publications in top
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related field a publication record that document solid expertise in computer science and interdisciplinary research strong technical skills good communication skills in English. Documented fluency in
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programme may be given consideration. If the candidate does not document proficiency in Norwegian, Swedish or Danish at level A2 , then the doctoral fellow will be offered a language course before the end
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research, quantum technologies, artificial intelligence, advanced communications and cybersecurity capabilities. The work will be in joint collaboration with the NRF CREATE programme Singapore Aquaculture