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. falciparum malaria pathogenesis and immunity. The employment period is 1 year beginning 1st of September 2026. The research project aims to elucidate and model how malaria parasite-infected erythrocytes attach
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people intertwine to create material ecosystems in urban contexts. The position is embedded in an emerging research agenda exploring how design thinking can strengthen circularity of things and support
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22 Apr 2026 Job Information Organisation/Company Aalborg Universitet Department The Technical Faculty of IT and Design, Department of Computer Science, Section for Distributed, Embedded and
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the possibility of extension. The expected starting date is August 1, 2026 or soon thereafter. The candidate will be part of the Section Distributed, Embedded and Distributed Systems, and the research group Quantum
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AI, embedded systems, electronic engineering, or a closely related field. You bring hands-on experience with SDR platforms such as USRPs or similar hardware, and are confident working across the full
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of their application before the appointment is announced. For further information about the recruitment process, please refer to the University of Copenhagen website: https://employment.ku.dk/faculty/recruitment-process
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for data science and ML prototyping. Experience with C/C++ or embedded programming for deploying algorithms on edge devices is highly desirable. Statistical intuition: You understand the challenges
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, to work at the intersection of AI, security, and embedded systems, contributing to next-generation trustworthy hardware platforms for cyber-physical energy systems. About the project AI:X is an ambitious
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information Further information may be obtained from Professor Tomislav Dragicevic (tomdr@dtu.dk ). You can read more about DTU Wind and Energy Systems at https://wind.dtu.dk/ If you are applying from abroad
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
embedding models, and construct semantic and network-based representations of key concepts. A central challenge — and opportunity — of the project is working with non-standardized, historically layered, and