129 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" positions at Aalborg University in Denmark
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
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
-
to be held after the application deadline. Further details will be communicated to shortlisted candidates. Further information Read more about our recruitment process here The appointment process at
-
is used to identify stakeholders of DSM in Norway, Greenland, and Denmark, and collect, codify and analyse data on stakeholders’ communication and representations of the Arctic Deep Sea. Field visits
-
research on architectures and methods for the real-time delivery of EO data from dense nanosatellite/CubeSat constellations and to develop innovative GNSS-based sensing methods and AI models to detect a
-
(such as heart disease, diabetes, and cancer) using, for example, data from registries and/or biobanks. The research will be performed in close collaboration with Center for Clinical Data Science (CLINDA
-
University (AAU) in Aalborg. This full-time position offers a unique opportunity to contribute to high-impact research in drones, AI, and human-computer interaction. Successful candidates will join a dynamic
-
the project based on your interests and in collaboration with a leading architectural firm. The candidate is expected to publish in leading Human-Computer Interaction venues. Your competencies You hold a PhD
-
Communication, the Faculty of Social Sciences and Humanities and the Center for Clinical Data Science (CLINDA), Department of Clinical Medicine, the Faculty of Medicine. AI:GENE-XPLAIN develops AI tools
-
optimization of production systems and supply chains, including digital twins, virtual system validation, process modeling, and data-integrated decision models. Research should explicitly support managerial
-
, the spatial and temporal resolution of EO data. MASSIV-EO aims to overcome these limitations through foundational research on architectures and methods for the real-time delivery of EO data from dense