Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oslo
- University of Bergen
- University of South-Eastern Norway
- NTNU - Norwegian University of Science and Technology
- University of Stavanger
- OsloMet
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- NORCE Norwegian Research Centre
- NTNU Norwegian University of Science and Technology
- University of Agder
- University of Inland Norway
- 1 more »
- « less
-
Field
-
structural applications due to their low weight, good strength, high recyclability, and ability to enable cost-efficient manufacturing of complex-shaped components. However, due to the interplay between
-
are widely used in structural applications due to their low weight, good strength, high recyclability, and ability to enable cost-efficient manufacturing of complex-shaped components. However, due to
-
, i.e., model-based studies of complex, dynamic systems. The group hosts two core educational programs, M.Phil. and PhD in System Dynamics, which are among the leading programs in the field worldwide. In
-
is subject to internal financing. About the project/work tasks: The System Dynamics Group provides education and conducts research in System Dynamics, i.e., model-based studies of complex, dynamic
-
quantum computing, aiming to solve small, complex sub-problems using Quantum Process Units (QPUs) while leveraging classical High-Performance Computing (HPC) on data-intensive tasks. With dedicated
-
University of Stavanger, chelating agents like ethylenediaminetetraacetic acid and citric acid dispersed about 50% of samples by complexing these ions, but the remaining specimens resisted due
-
(ultrasound measurements) blood samples training load data and health-related questionnaires A central part of the work will involve: systematization and quality control of complex longitudinal datasets
-
. Research topic The PhD Fellow’s research will deal with the consequences and effects of the use of disruptive technologies for energy security in Norway, a field currently confronted with a more complex and
-
Learning in Complex Systems, SFI CELECT and the Industrial Research School in Complex Systems, INRESCOS , collaborating with researchers across USN, NTNU, and the University of Agder. The position is funded
-
and simulation of complex systems in endocrinology. Digital endocrinology is a rapidly evolving, interdisciplinary field that integrates modern technology into the diagnosis, management, and treatment