Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Oslo
- NTNU Norwegian University of Science and Technology
- NTNU - Norwegian University of Science and Technology
- University of Bergen
- UiT The Arctic University of Norway
- Norwegian University of Life Sciences (NMBU)
- OsloMet
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- Norwegian Meteorological Institute
- UNIS
-
Field
-
application process here. About the position The Department of Department of Mechanical and Industrial Engineering is offering an exciting PhD position within the Norwegian Maritime AI Centre , a national
-
maintenance of resources and tools for atlas-based integration and analysis of experimental rodent brain data, and 2) providing services for FAIR neuroscience data and data processing. The standardization
-
will also design and develop new software and prototype models. Research areas: Computer science, Simulation-based automated synthesis and verification of human physiology models, Artificial intelligence
-
recording, motion capture, eye tracking, physiological measurements, various types of brain imaging (EEG, fMRI), and rapid prototyping and robotics laboratories. Applicants are required to upload a research
-
permanent position to support and further develop laboratory activities in a research-intensive environment. The position includes responsibility for the operation of the laboratory, maintenance and upgrading
-
imaging (EEG, fMRI), and rapid prototyping and robotics laboratories. Applicants are required to upload/attach a research outline (uio.no) stating research questions and theoretical and methodological
-
. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load
-
process here. ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position Digitalization and artificial intelligence (AI
-
). One has to have a holistic picture based on digital twins for involved processes. The digital twins shall become “eyes” to contemplate the situation from various perspectives and thus rapidly detect
-
. The first is to identify what aspects of bilingual experience (e.g., frequency/intensity of language engagement, duration of bilingual experience, etc.) affect adaptations in specific cognitive processes and