Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- DAAD
- Technical University of Munich
- Forschungszentrum Jülich
- Leibniz
- Nature Careers
- Karlsruhe Institute of Technology •
- Brandenburg University of Technology Cottbus-Senftenberg •
- Fraunhofer-Gesellschaft
- Helmholtz-Zentrum Geesthacht
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg
- Max Planck Institute for Sustainable Materials •
- Ruhr-Universität Bochum •
- Technical University of Darmstadt •
- University of Göttingen •
- University of Kassel •
- University of Münster •
- University of Stuttgart •
- University of Tübingen
- University of Tübingen •
- 9 more »
- « less
-
Field
-
, mechanical engineering, chemistry, or a related field Strong interest in application-oriented fundamental research High level of independence, initiative, and creativity in developing experimental approaches
-
Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | about 5 hours ago
The Department of Process Systems Engineering (Director: Prof. Dr.-Ing. Kai Sundmacher) at the Max Planck Institute for Dynamics of Complex Technical Systems is inviting applications for the PhD
-
TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. For TUD diversity is an essential feature and a
-
Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. For TUD diversity is an essential
-
to facilitate communication with technical staff and administrative services • Basic knowledge of mechanical engineering or experience with fiber spinning equipment is an advantage • Practical, hands-on skills
-
nanoindentation, for generating their own data sets Your Profile: A completed university degree (Master or equivalent) with excellent grades in the field of data science, material science, mechanical engineering
-
(master’s or equivalent) with excellent grades in the field of data science, material science, mechanical engineering, physics, or similar, with a strong machine learning or simulation background In-depth
-
was established in 2019 with our partner institute, the Nagoya Institute of Technology, Japan, in order to better understand lead-free perovskite materials for photo-electro-mechanical energy conversion systems
-
of Economics and Management Faculty of Mathematics and Natural Sciences Faculty of Organic Agricultural Sciences Faculty of Civil and Environmental Engineering Faculty of Mechanical Engineering Faculty
-
Lüneburg) and supported by Dr.‑Ing. Frederic Bock (Hereon). The objective is to combine computer simulations and machine leaning models to extend their compatibility with problems from mechanical engineering