Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Forschungszentrum Jülich
- Helmholtz-Zentrum Geesthacht
- DAAD
- Leibniz
- Technical University of Munich
- University of Stuttgart
- Fritz Haber Institute of the Max Planck Society, Berlin
- Helmholtz Zentrum Hereon
- Helmholtz-Zentrum Hereon
- Nature Careers
- Saarland University
- Technische Universität Berlin •
- Technische Universität Dresden
- University of Bremen •
- University of Konstanz
- University of Münster •
- University of Tübingen •
- 7 more »
- « less
-
Field
-
optics, optics simulation and design. We are pleased to advertise a Doctoral Researcher (PhD) position to begin in Octiber 2026, as part of the Doctoral Network of the European Commission HIPOVor “High
-
(4DSTEM). This approach will combine three-dimensional charge distribution data, generated through atomistic simulations, with machine-learning-driven modelling to guide and refine the phase reconstruction
-
: develop methods for safe UAV control using a digital twin of the urban environment, including landing sites, combined with the fundamental flight characteristics of UAVs integrate simulated sensor data from
-
whether your degree entitles you to gain a doctoral degree in Germany. Language requirements A copy of a TOEFL test or equivalent certificate of proficiency in English must be provided (non-native speakers
-
contribute to development of sustainable and biomedical materials. The results will be combined with theoretical modeling and simulations. Your profile Completed studies or about to be completed studies (M.Sc
-
to development of sustainable and biomedical materials. The results will be combined with theoretical modeling and simulations. Your profile Completed studies or about to be completed studies (M.Sc
-
time-scales: ab initio methods for the description of reaction processes, for the determination of electrochemical stabilities and for the optimisation of force fields; molecular dynamics simulations
-
machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement tasks to work with
-
the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement tasks to work
-
material parameters for crystal plasticity simulations from experimental data through inverse analysis to establish structure–property linkages based on numerical simulations and to transform them into AI