Sort by
Refine Your Search
-
The successful candidate will develop generative machine-learning methods for amorphous molecular thin films — the supramolecular structures that govern the performance of organic-electronic materials
-
nanostructures. You will fabricate your own samples in the clean room (thin-film deposition, electron-beam and photolithography, and SEM/FIB-based 3D nanostructuring) and probe their static and dynamic response
-
optical and spectroscopic characterization techniques such as AFM, SEM and TEM as well as XPS to characterize the deposited metallic thin film in depth. Investigating the developed electrodeposition
Searches related to thin films
Enter an email to receive alerts for thin-films positions