Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Inria, the French national research institute for the digital sciences
- University of Birmingham
- Centrum Wiskunde en Informatica (CWI)
- Delft University of Technology
- Leiden University
- RMIT University
- Technical University of Munich
- University of Bergen
-
Field
-
differential equations. Master students can apply, but the master's degree must be obtained and documented before starting the position and no later than 2026-09-01. You must have a proven ability to apply
-
education in numerical methods for solving partial differential equations. Master students can apply, but the master's degree must be obtained and documented before starting the position and no later than
-
partial differential equations. Master students can apply, but the master's degree must be obtained and documented before starting the position and no later than 2026-09-01. You must have a proven ability
-
or more of the following topics: numerical methods for (partial) differential equations. optimization or inverse problems. data assimilation or uncertainty quantification. agentic and generative AI. solid
-
or more of the following topics: numerical methods for (partial) differential equations. optimization or inverse problems. data assimilation or uncertainty quantification. agentic and generative AI. solid
-
relevant to physics, such as CNNs for image-based field prediction, Graph Neural Networks (GNNs), or Physics-Informed Neural Networks (PINNs) Solid grasp of numerical methods, partial differential equations