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Post Doctoral Researcher in Human-centred Large Language Models for Software Engineering, Departm...
collaboration within the Software Engineering group, and potentially across other research groups in the SECS Section. Your profile Applicants should hold a PhD degree in Computer Science or related field
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collaboration within the Software Engineering group, and potentially across other research groups in the SECS Section. Your profile Applicants should hold a PhD degree in Computer Science or related field
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Danish University, the Alexandra Institute, and the University of Copenhagen. The candidate will be co-supervised from both the Centre for Language Technology and the Department of Computer Science and
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must have a PhD degree or must document equivalent qualifications in a relevant field related to Natural Language Processing (NLP), Literature, Information Science, Media Studies or a closely related
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, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff
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Engage in teaching as required Required Qualifications PhD in Bioinformatics, Computer Science, Physics, Engineering, Bio-engineering, or equivalent Excellent track record in Bioinformatics with at least
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for extinction risk prediction Qualifications We are looking for a candidate who has: As a formal qualification, you must hold a PhD degree (or equivalent) in bioinformatics, computational biology, evolutionary
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) Recognised Researcher (R2) Positions PhD Positions Country Denmark Application Deadline 16 Oct 2025 - 12:00 (Europe/Copenhagen) Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Feb 2026 Is
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letter of application (max. one page). CV incl. education, work/research experience, language skills and other skills relevant for the position. A certified/signed copy of a) PhD certificate and b) Master
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to collaborate with industry partners, teach at undergraduate and graduate levels, and supervise Master's, and PhD students. Candidates will become part of a collaborative work environment within and outside QGG