Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Norwegian University of Life Sciences (NMBU)
- University of Oslo
- University of Agder
- Nord University
- University of Bergen
- Western Norway University of Applied Sciences
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- NORCE Norwegian Research Centre
- OsloMet
- The Norwegian School of Sport Sciences
- UNIS
- 3 more »
- « less
-
Field
-
within sanctioned boundaries. Underpinning both is the need for dependability models that, combined with telemetry-driven learning, can guide self-healing decisions in a way that reduces downtime without
-
these representations can be combined with concepts from physics‑inspired machine learning, drawing on statistical physics, dynamical systems, and stochastic processes, to design robust, interpretable, and mathematically
-
sustainable way. The work in the section combines marine ecology and aquaculture. As a PhD Candidate with us, you will work to achieve your doctorate, and at the same time gain valuable experience
-
SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
development of the FAST Virtual Lab, a digital framework combining experimental data, physics-based models, and data-driven methods to support design, manufacturing, and decision-making across aluminium value
-
. Your immediate leader will be the Head of Department. About the project Decentralized solar photovoltaic (PV) systems combined with battery storage are becoming crucial for ensuring reliable and
-
. With its strategic location, just a short drive from Oslo, Gjøvik combines the best of urban life and natural experiences. Here, you'll find a dynamic business environment and exciting career
-
. With its strategic location, just a short drive from Oslo, Gjøvik combines the best of urban life and natural experiences. Here, you'll find a dynamic business environment and exciting career
-
from the project consortium (underwater, waterborne, or aerial robots) build and test innovative solutions to support human–robot teams combine systematic, qualitative, and quantitative methodologies in
-
and wastewater engineering and hydraulic engineering. Graduates from our programmes become employees – in both the public and private sectors – with a sustainability mindset combined with competitive
-
metabolism in patients with primary adrenal insufficiency. The project combines inflammation- and metabolism-related omics, dynamic hormone profiling of cortisol and its metabolites, and data collected from