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The successful candidate will be responsible for: 1. Develop the numerical and analytical tools required to design these tunable random architectures and predict the mechanical behavior
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Stuttgart to work and exchange with the DLR team involved in the project. - PhD/Post-Doc in the field of economic modelling/simulation of energy systems. - Interest in the energy transition and in
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The successful candidate will have a PhD or Master degree in molecular biology with solid knowledge in genetics and functional genomics. We are seeking for highly motivated candidates with a strong interest in the
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or equivalent Skills/Qualifications PhD in analytical chemistry, physical chemistry, or materials science. Solid experience in spectroscopy, imaging techniques, and electrochemistry is expected. LanguagesENGLISH
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outsourcers. Data analysis basics (with Python or MatLab) is also demanded. General knowledge about embedded software programming may be required (but not compulsory).
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Hochschule München, jointly funded by the ANR and the DFG. Candidates should have a PhD in physics with good background in oxide materials, ferroelectrics or photoemission spectroscopy. The initial contract is