40 structural-engineering "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs at Nature Careers in Denmark
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Application deadline March 15, 2026, at 2359 hrs. CET Apply online https://fa-eosd-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/jobs/preview/3666/?lastSelectedFacet=CATEGORIES
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the state with the associated circular on the protocol for the job structure for academic staff at Danish universities and the provisions for associate professor as described herein. Please check links
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knowledge and tools verified by proof assistants. Our vision is to unlock the combined potential of humans and artificial intelligence (AI) for the rapid and reliable construction of digital systems, guided
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join the Section for Synthetic Biology, which hosts a strong international research environment with expertise in fungal biology and biotechnology, molecular genetic engineering platforms, fermentation
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information on the Department see: http://ecos.au.dk/en/ What we offer Excellent research infrastructure with access to state-of-the-art facilities, shared technical equipment, and strong technical support for
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research infrastructure-centric ecosystem to implement and sustain excellent service provision, support and drive technology/methodology innovation, and secure the financial sustainability of core facilities
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. Skills: Experience in developing novel algorithms. Experience in coding in C/C++ and preferably python. Experience in frontend engineering, including but not limited to the React framework, Javascript/HTML
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of taking up the position, at a level equivalent to that required for MSc students, see https://masters.au.dk/how-to-apply/admission-requirements/danish-language-requirements . Course fees etc. in
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Assistant Professor Positions in University Science Education Research: Learning Environments, Ex...
education, learning environment research, design research, psychology, user experience research, art-science-technology studies or a closely related field, and has a developing publication record in peer
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candidate who has: A PhD in hydrology, environmental engineering, environmental science, geography, ecology, or a related field Strong experience in hydrological modelling Proficiency in R and/or Python