92 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"Univ" positions at Aalborg University in Denmark
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a postdoc in the fields of Hybrid classical-quantum wireless communication as per June 1
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Postdoc – Performance requirements for biobased construction materials used in the building envelope
determining performance requirements of materials and decarbonized buildings. The position is available from June 1st, 2026, or as soon as possible thereafter. The position is temporary for 2 years and is based
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the area of quantum communication and networked quantum computation, dedicated to protocols and methods for combining quantum error correction and quantum error mitigation to achieve application-level
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multiparty computation in either classical or quantum settings is seen as a plus. As part of the position, the candidate is expected to work in close collaboration with colleagues from the research center
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At the Faculty of Engineering and Science, AAU Energy, a position as Assistant Professor in Digital Twin–Based Modelling of Integrated Energy Hubs with Heat Symbiosis is open for appointment April 1
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challenge: how to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk). CLASSIQUE will address a
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crystalline materials is often responsible for improved materials performance, but it is commonly overlooked in computational materials design. In this project, we will focus on developing accelerated
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At the Faculty of Engineering and Science, AAU Energy, a position as PhD stipend is available within the general study program. The PhD stipend is open for appointment from 1st June 2026 or soon
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, computer science, and statistics The objective of this PhD project is to develop machine learning algorithms that perform efficiently and coherently across both classical and quantum computing platforms. The PhD
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AI-driven creativity with clear environmental performance feedback early in the architectural design process. This phase is characterized by high uncertainty in data availability and design parameters