Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- AMOLF
- KNAW
- Maastricht University (UM)
- University of Amsterdam (UvA); yesterday published
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); today published
- Delft University of Technology (TU Delft); yesterday published
- Eindhoven University of Technology (TU/e)
- Eindhoven University of Technology (TU/e); Eindhoven
- Eindhoven University of Technology (TU/e); yesterday published
- Leiden University
- Maastricht University (UM); 18 Oct ’25 published
- Tilburg University
- Tilburg University; Tilburg
- Universiteit van Amsterdam
- University of Amsterdam (UvA)
- University of Twente
- University of Twente (UT)
- University of Twente (UT); Enschede
- 10 more »
- « less
-
Field
-
We invite applications for a fully funded PhD position in the field of numerical modelling of iron electrodeposition, i.e., multiphase flows involving phase change, using fully resolved CFD methods
-
accuracy requires high spatial and temporal resolution, which is time-prohibitive and therefore impractical for large parts. This project therefore aims to develop numerical methods that enable the efficient
-
Are you fascinated by electromagnetic modeling and numerical problem solving? Do you want to contribute to the development of state-of-the-art metrology for integrated-circuit production
-
of invariants of operator algebras, such as K-theory and cyclic homology; and Developing a mathematical method for passing from numerical Berry curvature to robust topological invariants in a large class of cases
-
accuracy requires high spatial and temporal resolution, which is time-prohibitive and therefore impractical for large parts. This project therefore aims to develop numerical methods that enable the efficient
-
theoretical modeling, numerical simulation, and experimental validation. Key objectives can include: Developing theoretical and computational models for friction-induced damping in joints and interfaces
-
developing new explanation methods. This will involve using tools from mathematical machine learning theory to prove mathematical guarantees about the performance of such new explanation methods, as
-
, which is time-prohibitive and therefore impractical for large parts. This project therefore aims to develop numerical methods that enable the efficient simulation of the LAFP process while accounting
-
The PhD will develop AI methods and approaches to enable accurate characterization of metal scrap, for more efficient metal recovery and recycling Job description The volume of available metal scrap
-
and optimizing post-plasma catalysis strategies, we want to create an energy-efficient and scalable method that reduces greenhouse gas emissions and supports the transition to a carbon-neutral chemical