Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- DAAD
- Technical University of Munich
- Forschungszentrum Jülich
- Leibniz
- Nature Careers
- Fraunhofer-Gesellschaft
- University of Tübingen
- Deutsches Elektronen-Synchrotron DESY •
- EBS Universität für Wirtschaft und Recht •
- Frankfurt School of Finance & Management •
- Free University of Berlin
- Heidelberg University
- Helmholtz-Zentrum Geesthacht
- Justus Liebig University Giessen •
- Leipzig University •
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Meteorology •
- Max Planck Institute for Solid State Research •
- Max Planck Institute for Sustainable Materials •
- Technische Universität Berlin •
- University of Bremen •
- University of Münster •
- University of Stuttgart •
- University of Tübingen •
- WIAS Berlin
- 15 more »
- « less
-
Field
-
. Correlated experimental, ab initio and multi-scale techniques are central to our mission: Development and application of advanced simulation techniques to explore and identify the fundamental structures and
-
climate states. Key responsibilities To carry out and complete your own research towards a doctoral degree. Design, run, and analyse equilibrium simulations with a coupled Earth-system model of intermediate
-
-mature.org and send it together with a cover letter, a curriculum vitae, a copy of all university degrees and other certificates in a single pdf-file to gerd.bacher@uni-due.de . Please mention in your
-
Simulations (LES). The analysis will be performed together with teams at the Helmholtz-Zentrum Hereon that focus on ocean turbulence and machine learning as a part of the TRR181 Collaborative Research Centre
-
theories and numerical methods, carrying out and analysing field and remote sensing observations and conducting and analysing numerical model simulations. The PhD position is funded by the German Research
-
workflows for descriptor based microstructure reconstruction to identify material parameters for crystal plasticity simulations from experimental data through inverse analysis to establish structure–property
-
reliable machine learning-based surrogate models to replace expensive phase field models to simulate failure because of HE. The activities will be complemented by own lab testing e.g., SSRT incl
-
during downstream processing. Theoretical investigation of molecule stability during DSP, using molecular interaction simulations such as e.g. Molecular dynamics (MD). Combination of PAT and data driven
-
://github.com/FZJ-IEK3-VSA/RESKit ). This framework currently uses historical weather data to model energy output and will be further developed to allow the simulation of renewable electricity production under
-
. This project will focus directly on the evolution of common ground. We will explore the implied cognitive complexity of great ape communication to identify evolutionary trends and simulate dynamics that might