40 computer-"https:"-"https:"-"https:"-"https:"-"CNR-IRIB-PALERMO" PhD positions at Aalborg University in Denmark
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within the general study programme Wireless Communications, as per May 15, 2026, or as soon as possible thereafter. The duration of the position is three years. In electronic engineering, Aalborg
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, Department of Computer Science, the Technical Faculty of IT & Design and the Center for Clinical Data Science (CLINDA) and Center for General Practice (CAM), Department of Clinical Medicine, the Faculty
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At the Technical Faculty of IT and Design, the Department of Architecture, Design and Media Technology (CREATE) offers a fully funded interdisciplinary PhD stipend within the study program “Media
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creative design processes. The lab will provide access to shared resources, joint supervision, and interdisciplinary training in AI, Life Cycle Assessment (LCA), and computational design tools. The objective
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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 at Aalborg University's Technical Faculty for IT and Design. In addition to the Department of Computer Science, the project involves close collaboration with the Department of Architecture, Design
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At the Technical Faculty of IT and Design, Department of Sustainability and Planning (PLAN), a PhD stipend is available within the general study programme Planning and Development. The stipend is
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Design, Department of Computer Science, we invite applications for a PhD position in Human-Robot Interaction in Healthcare within the Technical Doctoral School of IT and Design. The position offers a
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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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Do you want to be part of a young, dynamic research group working on designing the next generation of sustainable energy materials using computational chemistry and machine learning? And do you see