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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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verification of compiler optimizations in Rocq The position is for 15 hours per week. Starting on September 1, 2025 - or soon thereafter . The place of work is: Computer Science, Aarhus University - Åbogade 34
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Science and Technology Aarhus University offers expert scientists from around the world attractive career perspectives via the Science and Technology Tenure Track Program. Highly qualified candidates will
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The Center for Hybrid Intelligence is an interdisciplinary team of researchers and practitioners from physics, computer science, human-computer interaction, management, economics, psychology
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Aarhus University, Denmark - an international top-100 university - has made an ambitious recruitment plan to expand the Department of Electrical and Computer Engineering. Therefore, the department
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requirements. Your Profile We are searching for a highly motivated candidate who: Is enrolled as a Bachelor or Master student in political science, psychology, cognitive science, AI/data science, communication
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career perspectives via the Technical Sciences Tenure Track Programme. Highly qualified candidates are appointed as Assistant Professors for a period of six years with the prospect of performance- based
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The Department of Agroecology at Aarhus University, Denmark, invites applications for the position of Special Consultant to support and advance research and collaboration at the interface of science
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Two Senior Innovation Coaches (specialkonsulent) for Early-stage Medical Technology Innovation Teams
BioMedical Design Novo Nordisk Foundation Fellowship Programme, Department of Clinical Medicine at the Faculty of Health, Aarhus University, invites applications for two positions (one in Aarhus and
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standard of living. Qualifications requirements (academic and personal): Academic qualifications: Applicants should hold a master degree in computer science or other related fields with a strong statistical