Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- DAAD
- Forschungszentrum Jülich
- Technical University of Munich
- Fraunhofer-Gesellschaft
- Nature Careers
- Helmholtz-Zentrum Geesthacht
- Deutsches Elektronen-Synchrotron DESY •
- Dresden University of Technology •
- Heidelberg University
- Leibniz
- 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 •
- 6 more »
- « less
-
Field
-
of models in existing simulation software conducting numerical studies, also on HPC systems Further specific tasks can be tailored to the attitude and interests of the PhD students/postdocs. Requirements
-
simulation with flotation Presentation of own results at international conferences, in peer-reviewed journal publications and in a PhD thesis Cosupervision of related MSc topics and cooperation with other
-
Description The TRR404 “Next Generation Electronics With Active Devices in Three Dimensions [Active-3D]” is a Collaborative Research Center/Transregio between TUD Dresden University of Technology
-
invite applications for a PhD student in the area of “parameterizing ocean mixing”. The position is initially limited for three years. Equal opportunity is an important part of our personnel policy. We
-
Technische Universität Berlin, Electrical Engineering and Computer Science (Faculty IV) Position ID: Technische Universität Berlin -Electrical Engineering and Computer Science (Faculty IV) -PHD
-
. At the Institute for Railway Systems and Public Transport, the Chair of Railway Track Engineering offers a position as Research Associate / PhD Student (m/f/x) (subject to personal qualification, employees
-
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
-
Your Job: The main objective of this PhD project is to achieve a better understanding of the efficient propulsion of trypanosomes through complex crowded environments, mimicking biological tissues
-
susceptible steel structures. Thus, the candidate will develop reliable machine learning-based surrogate models to replace expensive phase field models to simulate failure because of HE. The activities will be
-
of future applications from the fields of structural lightweight construction, energy research and medical technology. The experimental development is closely accompanied by modelling approaches and