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expanding research environment with strong activities in multilingual NLP, LLM security, linguistically informed approaches to NLP, factuality in LLMs, and socially sustainable AI. The group is supported by
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, economics or political science. The candidate must have strong skills in statistics and quantitative methods. While proficiency in Danish or a related Nordic language is not required, it is considered
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applicant will be capable of working independently, efficiently managing their own workload, and collaborating productively within a multidisciplinary team environment. As English is the working language
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* • Copy of Master thesis (in any language)* • List of exams with ECTS and grades • Recommendation letter (1 page) *If you haven’t completed your Master studies at time of submission, please substitute
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analysis, so computer vision experience is a requirement. Experience with large language models is a plus. Furthermore, as AI:Epertise is about deploying AI in the real world, we are looking for people with
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, electrical engineering, communications engineering or similar - Solid computer science and analytical skills, including modelling and verification, programming language theory or quantitative model checking
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integrated with bioinformatics including large language models. The PhD scholarship includes an obligation for a 9 month research stay at the Chinese Academy of Sciences in Beijing, China integrated with
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architectures, and large language models (LLMs) as powerful tools for uncovering, quantifying, and interpreting causal information flow within the brain’s dynamic networks. Your competencies Prospective