291 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "Robert Gordon University" uni jobs in Denmark
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Technical Sciences Tenure Track Aarhus University offers talented scientists from around the world attractive career perspectives via the Technical Sciences Tenure Track Programme. Highly qualified
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We are looking for a highly motivated and independent staff scientist to support our efforts in bioinformatics & computational science to commence as soon as possible. Job description The position
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University offers talented scientists from around the world attractive career perspectives via the Technical Sciences Tenure Track Programme. Highly qualified candidates are appointed as Assistant Professors
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application activities. As your research programme develops, you will coordinate your own projects and contribute to shaping an active and supportive academic environment. Teaching and supervision
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stage and a more independent position. A core task in the position is to teach research-based courses in the history of science and technology within the BA and MA program in the history of ideas
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Tenure Track Assistant Professor or Associate Professor in building information modelling and dig...
Assistant Professor or Associate Professor position from 1 October 2026 or as soon as possible thereafter. Job description The appointed candidate is expected (1) to develop a research programme in digital
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Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Biological and Chemical Engineering programme. The position
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the Department’s psychology programme, including course development, examination, and educational leadership. Demonstrating the ability to translate research into broader societal or practice-oriented relevance
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computing- and cloud infrastructure – enabling research, innovation, and secure data-driven services across society. About DTU Computerome DTU Computerome is a national High-Performance Computing (HPC) and
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are needed to drive digitalization forward. The professor will play a key role in strengthening DTU Compute ’s activities in probabilistic machine learning and will help build a strong research community