33 computer-science-image-processing Postdoctoral research jobs at Aalborg University
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communication, microwave engineering, and applied AI. Our research combines strong theoretical expertise with unique experimental facilities, including advanced RF laboratories and high-performance computing
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researcher to pioneer the future of autonomous drone systems for search and rescue (SAR) and for critical infrastructure security. The postdoctoral position will be affiliated with Computer Science at Aalborg
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as per August 1, 2026, or as soon as possible thereafter. The position is available for a period of 1 year, with the possibility of extension. In electronic engineering, Aalborg University is known
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postdoctoral researchers willberecruited to workcloselyacross the two AAU departments of Sustainability and planning (PLAN) and Computer Sciences (CS). The project’smethodological PI is Associate Professor
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. We expect applicants to hold a PhD in a relevant field such as techno-anthropology, science and technology studies, human-computer interaction, human-robot interaction, digital health, anthropology
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the traditional boundaries between the areas of materials physics, materials processing, and materials science. One of the key goals is to synthesise proper materials, whose properties can be controlled by
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bridges the traditional boundaries between the areas of materials physics, materials processing, and materials science. One of the key goals is to synthesise proper materials, whose properties can be
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The Technical Faculty of It and Design, Department of Architecture, Design, and Media Technology invites applications for a postdoc position in Design Research, focusing on how products, places, and
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The Department of Culture and Communication at Aalborg University’s Copenhagen campus is looking for a postdoctoral researcher in the field of Science and Technology Studies (STS). The position is
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in electrical engineering, computer engineering, computer science, or similar. Strong background in communication systems, optimization, or machine learning for networked systems. Experience and