Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Forschungszentrum Jülich
- Technical University of Munich
- DAAD
- University of Tübingen
- Fraunhofer-Gesellschaft
- Leibniz
- University of Stuttgart •
- Heidelberg University •
- Friedrich Schiller University Jena •
- Hannover Medical School •
- Ludwig-Maximilians-Universität München •
- Nature Careers
- Technical University of Darmstadt •
- University of Bremen •
- University of Göttingen •
- University of Konstanz •
- Universität Düsseldorf
- 7 more »
- « less
-
Field
-
Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. TUD has established the Collaborative
-
The Children’s University of Tübingen Neuroscience student lab Demokratie Zukunftsfest Careers Back Job vacancies IT & Library / Technology & Maintenance / Administration Professorships Postdocs, assistant
-
The Children’s University of Tübingen Neuroscience student lab Demokratie Zukunftsfest Careers Back Job vacancies IT & Library / Technology & Maintenance / Administration Professorships Postdocs, assistant
-
for calculation and design Design and optimization of a flexible oxygen supply Optimization of the pilot plant based on test and simulation results Development of design and process engineering solutions
-
(diploma, master's degree) in transport engineering or civil/electrical/control engineering or mathematics, or related study programs with a solid basis in optimization Description of the PhD topic
-
- and Q-band EPR spectrometer. The candidate will be responsible for designing, building, and optimizing instrumentation and methods to investigate complex catalytic systems — including both synthetic and
-
academic area such as applied mathematics, computer science, physics, biomedical or electrical engineering or similar disciplines. Good programming expertise (Matlab, C++, Python or equivalent) and
-
scientific exchange at the national and international level Your Profile: You have successfully completed a master’s degree in natural or (industrial) engineering, computer science, or a related field You
-
) engineering, computer science, or a related field You have very good knowledge of energy technology, energy economics, and energy policy You have already gained initial experience in energy system modeling You
-
engineering Willingness to work in laboratory and cleanroom environments Ideally, initial experience in a technical or scientific environment (e.g. cleanroom, laboratory) Knowledge of solid state physics and/or