62 electrical-engineering-coding-theory Postdoctoral positions at Aarhus University in Denmark
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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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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 Department of Biological and Chemical Engineering, Aarhus University, invites applications for a postdoctoral position offering an exciting opportunity to contribute to the work on reactor
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, it increases the chance that you can find ways to improve the analysis or to transfer the ideas to other problems. In general, I only use software that I could in theory code up myself (I say in theory
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husbandry. The project brings together expertise from agricultural science, animal welfare, ecology, engineering, economics, and social science, and works closely with partners and Living Labs across Europe
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applicants regardless of their personal background. Research context We are looking for two innovative researchers with a background in history, philosophy, political theory, or literature preferably with a
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19 Mar 2026 Job Information Organisation/Company Aarhus University Research Field Engineering Other Researcher Profile First Stage Researcher (R1) Recognised Researcher (R2) Positions PhD Positions
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum
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, electrical engineering, etc. Prior experience in (1) image processing, particularly for radiographic and computed tomographic data as well as mesh-type data, and (2) machine learning, particularly deep