Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- University of Oslo
- University of Bergen
- UiT The Arctic University of Norway
- University of South-Eastern Norway
- NTNU - Norwegian University of Science and Technology
- University of Agder
- NTNU Norwegian University of Science and Technology
- Nature Careers
- Western Norway University of Applied Sciences
- SINTEF
- Simula Metropolitan Center for Digital Engineering
- UNIS
- University of Inland Norway
- NORCE
- Norwegian Institute of International Affairs
- University of Stavanger
- 6 more »
- « less
-
Field
-
borehole electromagnetic data during drilling. This includes the further development and application of fast solvers for Maxwell’s equations and nonlinear inversion algorithms that we have already developed
-
/Machine Learning (AI-ML) approaches to meeting this challenge. Possible topics include, but are not limited to: storylines for plausible narratives of regional climate change, novel algorithms for rare
-
for plausible narratives of regional climate change, novel algorithms for rare event sampling or ensemble boosting, and the development and use of hybrid climate models combining physics-based and ML components
-
algorithm that reliably simulates two-phase flow. The PhD projects will be part of developing and analyzing relevant numerical methods and implement them in an open-source framework that will be made openly
-
thanotyping (5-D)”, financed by the European Research Council (ERC). The 5-D project will develop methods and digital tools to identify that a person with dementia is at the end of life, aimed to understand
-
project ”Decoding Death and Dying in People with Dementia by Digital thanotyping (5-D)”, financed by the European Research Council (ERC). The 5-D project will develop methods and digital tools to identify
-
to enable the development of new algorithms for clinical AI based on patient data from heterogeneous sources notably language/speech-based sources. The activity will focus on the development of a prototype
-
with radioactive sources and at beamlines to test the performance of the NOVO prototype. Contribute to the development and testing of AI-algorithms for image reconstruction. Support NOVO staff working
-
and application of fast solvers for Maxwell’s equations and nonlinear inversion algorithms that we have already developed in a previous PhD project. In addition to electromagnetic geophysics
-
. Researchers at Integreat develop theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data. By combining the mathematical and computational cultures, and the