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their publications in relation to the field of this job advertisement. Copies of the publications marked with an *. Only publications written in English (or another specified principal language, according to research
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(approximately 1½ hour). Living and working in Denmark Foreign applicants will be offered Danish language training as part of the employment. International Staff Office (ISO) at SDU provides a variety of
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language models (LLMs) for educational purposes. Furthermore, the right candidate has a deep understanding of pedagogical research, with focus on how educational processes can be facilitated by AI. The role
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that integrate state-of-the-art Large Language Models (LLMs) with novel logic-based multi-robot planning algorithms. This work will be evaluated through simulations and with physical drones in mock search-and
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industrial partners. The working language is English, and we pride ourselves on a diverse, inclusive, and inspiring workplace that fosters personal and professional growth. What we expect We are looking for a
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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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of the position include: Pursue visiondriven, world-class research as a team that spans across broad linguistic, technical and historical competencies Working in a team that develops new methods in the intersection
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static and dynamic program analysis, tailored to the challenges of cross-language data communication. In particular, to systematically model and analyze cross-language communications to discover hidden
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of multiple matrices, is comfortable with research communication to a variety of audiences, speaks a Nordic language. Furthermore, the candidate should be well-organised and able to structure complex tasks
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translated into English. The application documents must be written in English. Use of large language models or related AI tools in any capacity must be disclosed in accordance with best academic practices