Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
simulations of charge transport using different levels of theory and collaborating with experimental groups to validate the developed models Writing scientific publications and giving presentations
-
complementary expertise, using both space and ground-based observations of the solar atmosphere, in-situ measurements from heliospheric probes, in synergy with a complete numerical modeling of the generation and
-
observations of the solar atmosphere, in-situ measurements from heliospheric probes, in synergy with a complete numerical modeling of the generation and propagation of solar jets from the solar atmosphere
-
numerical simulations using a GRMHD-PIC technique, which allows to track VHE ions on the fly. These simulations will be supplemented by cutting-edge analytical methods for injecting particles onto the grid
-
. Project background The position is associated to a project on phase-field modeling of fracture. The PhD project aims at developing cutting edge models for the fracture behavior of quasi-brittle materials
-
pulses develop numerical codes to calculate the system dynamics by solving partial differential equations (e.g. Schrödinger equation, von Neumann equation) model the coupling to lattice vibrations (i.e
-
of the Earth system at different temporal and spatial scales to improve predictive capability. Comprehensive education: Enjoy numerous opportunities for scientific training, skills development and problem
-
students of the REUNATECH network. Development and validation of FE models and shaking table experiments for base isolators under different earthquake effects. Optimisation of basic isolation by refining
-
the areas of fluid dynamics, turbulence and net-zero combustion. There is substantial scope for the student to direct the project with the main focus on (i) Generating an advanced Direct Numerical Simulation
-
in thermodynamics, optimization, and control theory. Strong understanding of mathematical modeling, numerical optimization, and/or model predictive control (MPC). Experience working with large-scale