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Neuroscience Academy Denmark (NAD) is looking for a Programme Coordinator. NAD is a nationally concerted effort involving the neuroscience research environments at the medical faculties of Aalborg
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Job Description We are seeking a highly motivated and talented Postdoctoral Researcher to join our team and contribute to our cutting-edge quantum computing project. This ambitious project focuses
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At the Technical Faculty of IT and Design, Department of Architecture, Design, and Media Technology, one or more Postdocs in Computer Vision are open for appointment from 1 of November or 1
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Assistant professor in AI at Computer Science The Department of Computer Science at The Technical Faculty of IT and Design invites applications for one or more positions as assistant professor as
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Assistant Professor in Electrical Energy Technology, Department of Electrical and Computer Engine...
. Relevant industrial R&D experience is an asset. About the Department of Electrical and Computer Engineering, Aarhus University The Department of Electrical and Computer Engineering is one of four engineering
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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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interest in information processing in humans and computers, and a particular focus on the signals they exchange, and the opportunities these signals offer for modelling and engineering of cognitive systems
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Job Description We are looking for a motivated, ambitious PhD student to join the Cryptography Group in the Cybersecurity Engineering Section at DTU Compute (Copenhagen region, Denmark). This 3-year
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. Relevant industrial R&D experience is an asset. About the Department of Electrical and Computer Engineering, Aarhus University The Department of Electrical and Computer Engineering is one of four engineering
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our team at DTU Compute, offering a fully funded position within a dynamic and interdisciplinary research environment. The positions are part of the research project “AI-driven materials optimization