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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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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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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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, including the Junior Researcher Development Programme. Who we are BTECH is part of Aarhus BSS, Aarhus University – a top 100 university. Aarhus BSS has achieved the triple-crown AACSB, AMBA and EQUIS
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colleagues and a formalized teaching and training program focusing on methodological as well as transferable skills, including dissemination, collaboration, and work planning CPPEM as a whole spans research
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the regulations of Ministerial Order No. 1124 of September 19, 2025 on the PhD Programme at the Universities and Certain Higher Artistic Educational Institutions. According to the Ministerial Order, the progress
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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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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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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: Advanced deep learning architectures Mathematical foundations of machine