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
- UNIS
-
Field
-
Group at the Department of Physics and Technology. We welcome applicants with a solid background in biophotonics, computational imaging or automation, who want to contribute to the development of cutting
-
, this technology requires to experiment a change of paradigm to guarantee a sustainable development for the years to come. One pathway to achieve this paradigm shift relies on the development of data-driven
-
engineering and computational biology methods to study development and regeneration, at a systems level, in tunicates. Tunicates, especially the genus Ciona, offer unique opportunities to leverage cutting edge
-
educational programme for a PhD degree within a period of 3 years. The deadline for applying for admission to the PhD programme at The Faculty of Science and Technology is 2 months after you start your position
-
degree within a period of 3 years. The deadline for applying for admission to the PhD programme at The Faculty of Science and Technology is 2 months after you start your position or after the start of
-
to the PhD programme at The Faculty of Science and Technology is 2 months after you start your position or after the start of the research project that will lead to the PhD degree. It is a condition that you
-
learning/computer vision methodology. The focus of this project will be on the development of deep learning methodology for spatio-temporal medical image analysis, that is medical images that evolve over
-
), Researcher Mattia Manni (IBM) and Prof. Guillaume Dutilleux (Faculty of Computer Science and Electrical Engineering, Acoustics Group) ensuring scientific guidance across acoustics and solar energy. Internal
-
experience with imaging, image processing, and/or visualization, as well as excellent programming skills. You must have a relevant Master's degree in computer science, electrical engineering, imaging science
-
21 Apr 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Computer Science Research Field Computer science Researcher Profile