100 associate-professor-computer-science-"https:"-"https:"-"https:"-"https:" positions at Aalborg University in Denmark
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reliability. Prospective applicants for this PhD proposal should have the following qualifications: M.Sc. degree in communications engineering, mathematical engineering, electrical engineering, computer
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collaboration with the Department of Computer Science at Aalborg University, combining socio-technical research on human-robot collaboration with technical research on interaction technologies and robotic systems
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Environments within the general study programme Electrical and Electronic Engineering; as per March 1, 2026, or as soon as possible thereafter. The candidate will be based in Aalborg at the Automation and
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At the Technical Faculty of IT and Design, Department of Computer Science, a 2-year Postdoc position in theories for programming semantics, methods for verification and reliability assurance
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At the Technical Faculty of IT and Design, Departmentof Computer Science, one PhD stipend intheories for programming semantics, methods for verification and reliability assurance of combined
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of Computer Science, the Technical Faculty of IT & Design. We invite applications for two fully funded PhD stipends in the area of Natural Language Processing (NLP), Knowledge Graphs (KGs), and Large Language Models
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or as soon as possible thereafter. The position is offered for a period of four months with the possibility of extension. The research assistant will support Associate Professor Troels Krarup in writing a
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on Department of Sustainability and Planning here. You may obtain further professional information from Associate Professor Ivar Lyhne, +45 5142 2310, lyhne@plan.aau.dk How to apply Your application
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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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motivated and curious candidate with a background in computer engineering, embedded systems, or a closely related field. The ideal candidate has an interest in the intersection of artificial intelligence