51 computational-science-"https:" "https:" "https:" "https:" "https:" "https:" "https:" uni jobs in Denmark
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the global element and water cycles. The group for aeromicrobiology ( https://bio.au.dk/en/research/research-areas/microbial-processes-and-diversity/translate-to-english-au-biology-aeromicrobiology-research
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23 Jul 2026 Job Information Organisation/Company Aalborg Universitet Department The Technical Faculty of IT and Design, Department of Computer Science, Section for Human Centered Computing Research
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Department of Biomedical Sciences Faculty of Health and
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. The successful candidate is also expected to be course-responsible and plan, conduct teaching, and supervise participants in DTU’s Continuing Education program: Diplom i Ledelse (https://lifelonglearning.dtu.dk
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-oriented engineering and social sciences, including economics and political analysis. Further information about iClimate can be found at https://iclimate.au.dk/, and information about the Department
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electronic components by integrating thermal design directly into the early stages of technology and component development, this position may be the right opportunity for you. We are looking for an Assistant
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16 Jul 2026 Job Information Organisation/Company Aarhus University Department The Department of Dentistry and Oral Health Research Field Other Computer science Researcher Profile First Stage
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Fixed-term Associate Professor in Endocrine Physiology and Behavior Department of Biology University of Copenhagen The Department of Biology at the Faculty of Science, University of Copenhagen, is
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employees with Greenland as our primary base for Arctic science activities, and we are strongly anchored in the Greenland Ecosystem Monitoring (GEM) programme and to research and advise related to industrial
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, computer science, computational biology, or similar fields. The applicant is expected to have demonstrated experience working with state-of-the-art deep learning approaches for detection and/or classification