91 computer-science-"https:"-"ESPCI-Paris---PSL"-"https:" positions at Aarhus University in Denmark
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in research project management, and a relevant publication track record. Application deadline: March 20th, 2026 at 23.59 (CET) Place of work: Dept. of Computer Science, Aarhus University, Åbogade 34
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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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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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scientific areas. We educate both Bachelor and Master of Science in Engineering and around 825 students are enrolled in our study programs. Furthermore, we also offer an ambitious PhD program. Our PhD students
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primary activities cover research, education and external collaboration, and consists of 7 departments (biology, physics & astronomy, chemistry, geology, mathematics, computer science, and molecular biology
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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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We are seeking applicants for postdoc positions in ‘Mammalian Nuclear RNA Production and Turnover Systems’ to join us at the Department of Molecular Biology and Genetics in the research team
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The Department of Agroecology at Aarhus University, Denmark, is offering a position as Assistant professor focusing on seed science. The position will be available from 01-06-2026 or as soon as
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next‑generation insect camera traps with on‑device (edge) computing for real‑time detection and classification Collaborating in an interdisciplinary team spanning ecology, computer science, engineering
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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