250 computer-science-intern-"https:"-"https:"-"https:"-"CUBO" research jobs in Denmark
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Research Assistant in Physical Computing and Wearables at the Department of Computer Science, Aar...
We invite applications of Electrical Engineers (Ba/Ma) for participating in a research projects for 2 months starting May, 1st, 2026 in the HCC section at the Department of Computer Science. Our
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We invite applications of Electrical Engineers (Ba/Ma) for participating in a research projects for 2 months starting May, 1st, 2026 in the HCC section at the Department of Computer Science. Our
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This is a full-time (37 hours/week) on-site role located in Aarhus, Denmark for a Postdoctoral Research Fellow at the Department of Computer Science, Aarhus University. This position is for 2 years
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The Section for Electrical Energy Technology at the Department of Electrical and Computer Engineering (ECE), Aarhus University, is in a phase of rapid growth in both education and research
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of circumstances under which university scientific advice is given to private companies; A background within scientific computing, using tools such as R, Julia or Python; Knowledge of using data science in relation
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and technology comprehension tools for children investigating children’s understandings and conceptualisations of computational and AI-based systems designing and empirically studying learning
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and technology comprehension tools for children investigating children’s understandings and conceptualisations of computational and AI-based systems designing and empirically studying learning
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position as Senior Researcher. At the Faculty of Engineering and Science, Department of Chemistry and Bioscience, a position as Senior Researcher in Natural Product Chemistry is open for appointment from 1
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scientific excellence, be ambitious and hard working. Only applicants, who seek to be among the brightest in their field and do science at the highest international level, will be considered. We offer DTU is a
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Do you want to be part of a young, dynamic research group working on designing the next generation of sustainable energy materials using computational chemistry and machine learning? And do you see