53 linked-data-"https:" "https:" "https:" "Technical University Of Denmark" PhD positions at Aalborg University
Sort by
Refine Your Search
-
ambulance ECGs recorded since 2001, linked to the Danish national health registers and the Danish Heart registries, enabling robust validation of occluded coronary arteries and clinical outcomes. In addition
-
Denmark. The work consists of quantitative research, including developing research questions, conducting theory-driven statistical analyses of longitudinal register data, and, where relevant, linking
-
decision-making. A main challenge is finding ways to link AI-driven creativity with clear environmental performance feedback early in the design process. This phase is characterized by high uncertainty in
-
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
-
, 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
-
candidate is expected to publish in leading Human-Computer Interaction venues. Your competencies You hold a master’s degree in human-computer interaction, computer science, interaction design, applied
-
University, preferably 3-6 months at a foreign research institution. Please visit the website of the doctoral school for further information on admission requirements. Who we are The research group focusses
-
(students, staff, and visiting researchers) with sample preparation, measurements, and data analysis Participation in maintaining laboratory safety, including handling of equipment and chemicals Teaching
-
of wind turbines. Despite remarkable progress in structural health monitoring boosted by AI, purely data-driven models have no physical interpretability and poor generalization capabilities. Thus