Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- AALTO UNIVERSITY
- ; Swansea University
- ; The University of Manchester
- DAAD
- Delft University of Technology (TU Delft); Delft
- ETH Zürich
- Eindhoven University of Technology (TU/e); Eindhoven
- Technical University of Denmark
- University of Groningen
- Ariel University
- Aristotle University of Thessaloniki
- CNRS
- Curtin University
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); yesterday published
- Eindhoven University of Technology (TU/e)
- Graz University of Technology
- KU LEUVEN
- Leibniz
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Nature Careers
- Stockholms universitet
- Technical University Of Denmark
- The University of Manchester;
- University of Bremen •
- University of Southern Denmark
- Vrije Universiteit Brussel
- 18 more »
- « less
-
Field
-
, multiphoton ionization, and nonlinear optics, the analysis of structure and dynamics at solid surfaces as well as projects for the determination of high temperature properties of materials. About us Graz
-
models currently available and in use is their oversimplified description of physical, dynamic and nonlinear behavior. The principal goal of the PhD project is to develop component models with a greater
-
perturbations. Climate and human-induced disturbances may alter forest ecosystems dynamics, modifying eventually their resilience to rapidly changing conditions. Previous studies based on the temporal analysis
-
of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Solid theoretical foundations in optimal control and dynamic programming. Practical expertise in nonlinear
-
candidate will become part of a dynamic and internationally connected research environment at the Department of Engineering Cybernetics, renowned for its leading expertise in optimization, control, and
-
, these models often use simplified, linearized assumptions, limiting their capacity to capture the nonlinear complexities inherent in real-world hydrological processes. Recently, there has also been the branch
-
are increasingly central to applications in soft metamaterials and bio-implants. Yet, understanding their mechanics in real time remains a major challenge. Their behavior involves nonlinearities, viscous effects
-
scales and different phases which leads to nonlinear time and history dependent material behavior. Additionally, innovative changes are happening in the steel production process, especially in the drive
-
scales and different phases which leads to nonlinear time and history dependent material behavior. Additionally, innovative changes are happening in the steel production process, especially in the drive
-
are dynamic systems evolving over time (due to operation), this doesn’t hold. Therefore, there is much to be gained by surrogating the full structure flexibly: a generalist surrogate capable of estimating and