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Post Doctoral Researcher in Human-centred Large Language Models for Software Engineering, Departm...
. Required qualifications: A Ph.D. degree in Computer Science, Data Science, Software Engineering or related field. Solid research experience with using Large Language Models. Solid programming expertise in
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large part of the medical degree programme. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings and at seminars. The department employs approx. 500
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. The positions The positions are affiliated with the Department of Educational Sociology, which is responsible for the Master’s degree programme in educational sociology. The selected applicants for the assistant
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will be part of the section of Artificial Intelligence, Cybersecurity, and Programming Languages (ACP), an ambitious group that fosters collaboration, research excellence, and quality education. The
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at the Faculty of Humanities is dedicated to the study of human societies past and present, with degree programs ranging from History to Archeology, Ethnology, Classical Languages and Migration Studies. PhD
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Profile Leading Researcher (R4) Country Denmark Application Deadline 10 Oct 2025 - 21:59 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme
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at Department of Chemistry and Bioscience in particular the BSc and MSc programs in biotechnology. Previous experience with sustainable development and management of education, teaching, innovation and industrial
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and their families, including Relocation Service and an Expat Partner Programme Living and working in Denmark Subsidised childcare and free education from primary school through university. Universal
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value a clear, innovative and highly ambitious research profile. Teaching: Teach and supervise students within the department's portfolio of study programs. The successful applicant must be able to cover
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engineering, electrical engineering, communication engineering, computer science, or a related field. Documented experience with deep learning techniques (e.g., CNNs, Transformers) Strong programming skills in