142 engineering-computation "https:" "https:" "https:" "https:" "https:" "Ulster University" positions at Aarhus University in Denmark
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19 Mar 2026 Job Information Organisation/Company Aarhus University Department Department of Molecular Biology and Genetics Research Field Biological sciences » Biological engineering Researcher
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at all levels, including PhD students. Our study programme portfolio in engineering consists of an MSc in Engineering (Technology Based Business Development) as well as two Bachelor of Engineering
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the project RIBOTICS (RNA Origami Technology in Cell Systems) funded by an Advanced Grant from the European Research Council (ERC). The intended starting date is 01st September 2026 or as soon as possible
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biotechnology, medical biotechnology, and electrochemical engineering, and more into new technologies and value-creating solutions that can also be used in the business community. For more information: https
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collaboration with industry? The Department of Electrical and Computer Engineering at Aarhus University is looking for a R&D Engineer (TAP) position from April 15, 2026 or as soon as possible. This is a fixed
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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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Computational Biology (BiRC), Department of Molecular Biology and Genetics (MBG), Aarhus University (http://birc.au.dk), Denmark. The application deadline is 7 April 2026. The position We seek a highly motivated
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Would you like to facilitate open collaborations that lead to more sustainable and plant-based foods? We are looking for an experienced programme manager for the Plant2Food programme that has been
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trapped ion quantum technology setups. The work will partly be carried out in the newly established Quantum Technology Lab (QTL) and within the Ion Trap Group. The position is open from the 1st of July
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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