Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Lulea University of Technology
- Umeå University
- Chalmers University of Technology
- Linköping University
- Uppsala universitet
- KTH Royal Institute of Technology
- University of Lund
- Luleå University of Technology
- Lunds universitet
- Nature Careers
- Stockholms universitet
- Swedish University of Agricultural Sciences
- 2 more »
- « less
-
Field
-
integrated sensor arrays. The project combines several different concepts: Progress in understanding insect neurobiology that provides proven circuit designs to solve significant problems such as autonomous
-
of this project is a novel on-chip hybrid nanostructure platform for energy-efficient, fast artificial neural networks and integrated sensor arrays. The project combines several different concepts: Progress in
-
from manufacturing sensors and XR headsets (video, audio, motion). This includes building multimodal AI pipelines, generating procedural representations, and contributing to the integration of real-time
-
even in modern GPU systems. This project investigates neuromorphic sensors and sensor fusion of multiple event-cameras in a real-time human-robot co-working space, where a robotic manipulator (a 7 DOF
-
Applications in the Department of Biomedical Engineering and Health Systems. Candidates with a background in biomedical, mechanical, or electrical engineering and research interests in robotics, sensors, and
-
sensors. We seek a motivated and creative candidate eager to learn new skills, with a strong collaborative mindset and excellent proficiency in written and spoken English. The position offers opportunities
-
sensors and also in terms of fundamental understanding of light interaction with free flying insects. We now aim to push the boundaries for retrieval of nanoscopic information from their surfaces
-
materials. This class of materials has unique properties which make them promising candidates for next-generation electronic devices, energy storage systems, sensors, and catalysts. However, they also pose
-
through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software
-
candidates for next-generation electronic devices, energy storage systems, sensors, and catalysts. However, they also pose unique challenges from a machine learning perspective, calling for novel machine