75 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:"-"https:" positions at Aarhus University in Denmark
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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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initiatives focusing on: Next-generation energy storage systems Power converter design for Power-to-X (PtX) solutions Microgrid applications Quantum computing in power systems And other emerging technologies in
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Aarhus University seeks a Mission Operation Manager for 1 year to lead operations of the DISCO-2 satellite set for launch in March 2026 and to strengthen Aarhus University’s end-to-end space
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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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The Department of Ecoscience at Aarhus University invites applications for two postdoctoral positions to strengthen our research on image recognition, computer vision and deep learning applied
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We invite applications from researchers to join our XR (extended reality) and Visual Computing research groups. We have 3 posts available from 1 May but there is flexibility for later start dates
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to algorithms with actionable performance guarantees. More specifically, the research will revolve around the following theme: High probability convergence in stochastic optimization under heavy-tailed noise
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://international.au.dk/research/ Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here: http://talent.au.dk/junior
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) that is based on redox-active organic building blocks. These building blocks enforce charge delocalization and give rise to exotic quantum states that relate to superconductivity. This project will focus
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graph algorithms for optimization under physical constraints Applying graph mining and graph data management techniques Designing computational methods for waste heat reuse and green transition goals