20 phd-studenship-in-computer-vision-and-machine-learning PhD positions at Aalborg University in Denmark
Sort by
Refine Your Search
-
for interoperable messaging that inform future innovations and policy Applicants must have a Master’s degree in computer science, human-computer interaction, or a closely related field. Due to the project's focus
-
internet Quantum embeddings for machine learning Networked quantum sensing supported by distributed classical communication Prospective applicants to this PhD proposal should have the following
-
At the Faculty of Medicine, Department of Health Science and Technology, one or more PhD stipend’s are available within the doctoral programme: Biomedical Engineering and Neuroscience from September
-
, machine learning, electrical engineering, or a related field. The ideal candidate will have some of the following skills such as: Computer vision and machine learning: A solid understanding of image and
-
At the Faculty of Medicine, Department of Health Science and Technology, one or more PhD stipend’s are available within the doctoral programme: Biomedical Engineering and Neuroscience from
-
At the Faculty of Engineering and Science, AAU Energy offers a PhD stipend position within the general study program. The position is offered in relation to the research group Underwater Technology
-
PhD Stipends within Distributed, Embedded and Intelligent Systems (DEIS) At the Technical Faculty of IT and Design, Department of Computer Science, one PhD stipend is available within
-
The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of radio communications within the general study program wireless
-
, satellites, and sensing. The PhD stipends are within the general study programme wireless communications and open for appointment from September 1, 2025, or as soon as possible thereafter. In electronic
-
At the Faculty of Engineering and Science, Department of Materials and Production a position as PhD stipend in Muscle Neuromechanics and Ultrasound Imaging, within the doctoral programme Materials