291 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" Postdoctoral research jobs 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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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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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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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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experience in the following areas: Knowledge of computer science and machine learning. Familiarity with electrical and electronic engineering. Proficiency in programming languages such as Python, C++
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10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning
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design. However, there is a great need to develop new software for the design of advanced RNA origami robots that can sense, compute and actuate [2]. In the recently funded RIBOTICS (RNA Origami Technology
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employment is 2 years. You can read more about career paths at DTU here . Further information Further information may be obtained from Andrey Rivkin, DTU Compute, https://orbit.dtu.dk/en/persons/andrey-rivkin
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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